Overview

Row

Overview

Bay Area Transportation Study: Unweighted Codebook and Dataset Guide

This document provides key information about all variables included in the Bay Area Travel Study dataset. This includes:

A codebook with all variable and value labels, searchable by data table.
Unweighted frequency tables with unweighted tabulations for all categorical variables in the dataset.
A dataset guide with information about data privacy, data preparation, and notes on joining tables. In many cases, referring to the original survey questionnaire also provides helpful context for the exact data collection procedures.

Study and Dataset Overview

The Bay Area Transportation Study collected data from 2023-05-08 to 2024-01-19. The study included two parts:

Part one, also called the “recruit survey,” collected information about household composition, demographics, and typical travel behavior.
Part two, also called the “travel diary,” required participants to record their travel during an assigned travel period.

“Complete” households met the following conditions:

The household completed the recruit survey in full.
The household completed a travel diary for all participating household members on at least one concurrent weekday.

Identifying surveyable household members:

The household member who completed the recruit survey is referred to as “person 1.” All household members whose relationship to person 1 is spouse or unmarried partner, child, parent, sibling, or other relative reported their travel and are considered part of the household. These persons can be identified by a value of 1 in the “surveyable” column in the person data table.

Dataset Composition

The dataset includes six distinct data tables. These tables include all user-input survey variables, certain survey metadata, and variables derived to support data analysis.

Table	Rows
Household	8,843 households
Person	17,189 people
Vehicle	11,984 vehicles
Day	91,588 days
Trip	373,511 trips
Location	6,673,885 points

Data Privacy

The survey dataset contains sensitive and confidential data, including personally identifiable information (PII). The table below lists several specific variables that are likely to contain PII or sensitive information, however this list is not exhaustive. Combinations of additional variables may also constitute PII. Please follow your organization’s privacy policy, this study’s privacy policy, and generally accepted best practices for data privacy and security.

RSG has removed any PII used solely for survey administration from the final dataset. Additionally, survey access codes used by participants have been replaced with household IDs (hh_id) to ensure that no information in the final dataset can be identified using the passwords the participant used.

Sensitive and Personally Identifiable Information (PII)

Variable Name(s)	Data Level	Confidential Data Type
home_lat, home_lon	Household	PII
income_detailed	Household	Sensitive
ethnicity	Person	Sensitive
ethnicity_other_specify	Person	Text entry: May contain sensitive and PII
race	Person	Sensitive
race_other_specify	Person	Text entry: May contain sensitive and PII
school_lat, school_lon	Person	PII
work_lat, work_lon	Person	PII
o_lat, o_lon	Trip	PII
d_lat, d_lon	Trip	PII
mode_other_specify	Trip	Text entry: May contain sensitive and PII
other	Vehicle	Text entry: May contain sensitive and PII

Codebook

Row

Variable Descriptions

Table

Value Labels

Household

Row

participation_group

Participation group

Label	Value	Counts	Percentages
Signup survey completed via browserMove, Diary completed via browserMove	1	1,162	13.1%
Signup survey completed via browserMove, Diary completed via call center	2	22	0.2%
Signup survey completed via browserMove, Diary completed via rMove	3	1,858	21.0%
Signup survey completed via call center, Diary completed via browserMove	4	61	0.7%
Signup survey completed via call center, Diary completed via call center	5	289	3.3%
Signup survey completed via call center, Diary completed via rMove	6	6	0.1%
Signup survey completed via rMove, Diary completed via browserMove	7	236	2.7%
Signup survey completed via rMove, Diary completed via call center	8	6	0.1%
Signup survey completed via rMove, Diary completed via rMove	9	5,203	58.8%
Total valid		8,843	100.0%
Total		8,843

Row

num_days_complete

Number of complete days
If surveyable

Label	Value	Counts	Percentages
1 day complete	1	3,018	34.1%
2 days complete	2	83	0.9%
3 days complete	3	97	1.1%
4 days complete	4	121	1.4%
5 days complete	5	318	3.6%
6 days complete	6	910	10.3%
7 days complete	7	4,296	48.6%
Total valid		8,843	100.0%
Total		8,843

Row

num_days_complete_a

Number of complete days under strict criteria A

Label	Value	Counts	Percentages
0 days complete	0	972	11.0%
1 day complete	1	2,786	31.5%
2 days complete	2	319	3.6%
3 days complete	3	490	5.5%
4 days complete	4	714	8.1%
5 days complete	5	932	10.5%
6 days complete	6	1,005	11.4%
7 days complete	7	1,625	18.4%
Total valid		8,843	100.0%
Total		8,843

Row

num_days_complete_b

Number of complete days under lenient criteria B

Label	Value	Counts	Percentages
0 days complete	0	258	2.9%
1 day complete	1	2,936	33.2%
2 days complete	2	143	1.6%
3 days complete	3	203	2.3%
4 days complete	4	338	3.8%
5 days complete	5	752	8.5%
6 days complete	6	1,352	15.3%
7 days complete	7	2,861	32.4%
Total valid		8,843	100.0%
Total		8,843

Row

num_days_complete_weekday

Number of complete weekdays

Label	Value	Counts	Percentages
0 weekdays	0	42	0.5%
1 weekday	1	3,033	34.3%
2 weekdays	2	125	1.4%
3 weekdays	3	238	2.7%
4 weekdays	4	746	8.4%
5 weekdays	5	4,659	52.7%
Total valid		8,843	100.0%
Total		8,843

Row

num_days_complete_weekday_a

Number of complete weekdays under strict criteria A

Label	Value	Counts	Percentages
0 weekdays	0	1,058	12.0%
1 weekday	1	2,921	33.0%
2 weekdays	2	612	6.9%
3 weekdays	3	950	10.7%
4 weekdays	4	1,254	14.2%
5 weekdays	5	2,048	23.2%
Total valid		8,843	100.0%
Total		8,843

Row

num_days_complete_weekday_b

Number of complete weekdays under lenient criteria B

Label	Value	Counts	Percentages
0 weekdays	0	311	3.5%
1 weekday	1	2,996	33.9%
2 weekdays	2	268	3.0%
3 weekdays	3	600	6.8%
4 weekdays	4	1,289	14.6%
5 weekdays	5	3,379	38.2%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_mon

Number of complete Mondays

Label	Value	Counts	Percentages
0 Mondays	0	2,909	32.9%
1 Monday	1	5,934	67.1%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_mon_a

Number of complete Mondays under strict criteria A

Label	Value	Counts	Percentages
0 Mondays	0	4,354	49.2%
1 Monday	1	4,489	50.8%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_mon_b

Number of complete Mondays under lenient criteria B

Label	Value	Counts	Percentages
0 Mondays	0	3,471	39.3%
1 Monday	1	5,372	60.7%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_tue

Number of complete Tuesdays

Label	Value	Counts	Percentages
0 Tuesdays	0	2,537	28.7%
1 Tuesday	1	6,306	71.3%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_tue_a

Number of complete Tuesdays under strict criteria A

Label	Value	Counts	Percentages
0 Tuesdays	0	4,163	47.1%
1 Tuesday	1	4,680	52.9%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_tue_b

Number of complete Tuesdays under lenient criteria B

Label	Value	Counts	Percentages
0 Tuesdays	0	3,149	35.6%
1 Tuesday	1	5,694	64.4%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_wed

Number of complete Wednesdays

Label	Value	Counts	Percentages
0 Wednesdays	0	2,525	28.6%
1 Wednesday	1	6,318	71.4%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_wed_a

Number of complete Wednesdays under strict criteria A

Label	Value	Counts	Percentages
0 Wednesdays	0	4,143	46.9%
1 Wednesday	1	4,700	53.1%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_wed_b

Number of complete Wednesdays under lenient criteria B

Label	Value	Counts	Percentages
0 Wednesdays	0	3,103	35.1%
1 Wednesday	1	5,740	64.9%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_thu

Number of complete Thursdays

Label	Value	Counts	Percentages
0 Thursdays	0	2,582	29.2%
1 Thursday	1	6,261	70.8%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_thu_a

Number of complete Thursdays under strict criteria A

Label	Value	Counts	Percentages
0 Thursdays	0	4,287	48.5%
1 Thursday	1	4,556	51.5%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_thu_b

Number of complete Thursdays under lenient criteria B

Label	Value	Counts	Percentages
0 Thursdays	0	3,161	35.7%
1 Thursday	1	5,682	64.3%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_fri

Number of complete Fridays

Label	Value	Counts	Percentages
0 Fridays	0	3,386	38.3%
1 Friday	1	5,457	61.7%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_fri_a

Number of complete Fridays under strict criteria A

Label	Value	Counts	Percentages
0 Fridays	0	5,017	56.7%
1 Friday	1	3,826	43.3%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_fri_b

Number of complete Fridays under lenient criteria B

Label	Value	Counts	Percentages
0 Fridays	0	3,948	44.6%
1 Friday	1	4,895	55.4%
Total valid		8,843	100.0%
Total		8,843

Row

num_days_complete_weekend

Number of complete weekend days

Label	Value	Counts	Percentages
0 weekend days	0	3,155	35.7%
1 weekend day	1	571	6.5%
2 weekend days	2	5,117	57.9%
Total valid		8,843	100.0%
Total		8,843

Row

num_days_complete_weekend_a

Number of complete weekend days under strict criteria A

Label	Value	Counts	Percentages
0 weekend days	0	4,264	48.2%
1 weekend day	1	1,594	18.0%
2 weekend days	2	2,985	33.8%
Total valid		8,843	100.0%
Total		8,843

Row

num_days_complete_weekend_b

Number of complete weekend days under lenient criteria B

Label	Value	Counts	Percentages
0 weekend days	0	3,441	38.9%
1 weekend day	1	1,105	12.5%
2 weekend days	2	4,297	48.6%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_sat

Number of complete Saturdays

Label	Value	Counts	Percentages
0 Saturdays	0	3,428	38.8%
1 Saturday	1	5,415	61.2%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_sat_a

Number of complete Saturdays under strict criteria A

Label	Value	Counts	Percentages
0 Saturdays	0	5,112	57.8%
1 Saturday	1	3,731	42.2%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_sat_b

Number of complete Saturdays under lenient criteria B

Label	Value	Counts	Percentages
0 Saturdays	0	3,958	44.8%
1 Saturday	1	4,885	55.2%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_sun

Number of complete Sundays

Label	Value	Counts	Percentages
0 Sundays	0	3,453	39.0%
1 Sunday	1	5,390	61.0%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_sun_a

Number of complete Sundays under strict criteria A

Label	Value	Counts	Percentages
0 Sundays	0	5,010	56.7%
1 Sunday	1	3,833	43.3%
Total valid		8,843	100.0%
Total		8,843

Row

num_complete_sun_b

Number of complete Sundays under lenient criteria B

Label	Value	Counts	Percentages
0 Sundays	0	4,029	45.6%
1 Sunday	1	4,814	54.4%
Total valid		8,843	100.0%
Total		8,843

Row

home_in_region

Home is in the study region

Label	Value	Counts	Percentages
Yes	1	8,843	100.0%
Total valid		8,843	100.0%
Total		8,843

Row

sample_segment

Sample segment

Label	Value	Counts	Percentages
Spring low income assignment	1	36	0.4%
Spring low income opt-in	2	58	0.7%
Spring BIPOC assignment	3	15	0.2%
Spring BIPOC opt-in	4	30	0.3%
Spring wbt assignment	5	49	0.6%
Spring wbt opt-in	6	77	0.9%
Spring general assignment	7	90	1.0%
Spring general opt-in	8	159	1.8%
All Other Low Income	9	575	6.5%
All Other BIPOC	10	348	3.9%
All Other Walk/Bike/Transit	11	574	6.5%
All Other General	12	2,852	32.3%
San Francisco Low Income Northeast	13	227	2.6%
San Francisco BIPOC Northeast	14	27	0.3%
San Francisco Walk/Bike/Transit Northeast	15	226	2.6%
San Francisco General Northeast	16	441	5.0%
San Francisco Low Income Northwest	17	41	0.5%
San Francisco General Northwest	18	563	6.4%
San Francisco Low Income Southeast	19	40	0.5%
San Francisco BIPOC Southeast	20	198	2.2%
San Francisco General Southeast	21	218	2.5%
San Francisco Low Income Southwest	22	25	0.3%
San Francisco BIPOC Southwest	23	10	0.1%
San Francisco Walk/Bike/Transit Southwest	24	14	0.2%
San Francisco General Southwest	25	583	6.6%
Santa Clara Low Income	26	217	2.5%
Santa Clara BIPOC	27	90	1.0%
Santa Clara Walk/Bike/Transit	28	265	3.0%
Santa Clara General	29	731	8.3%
Pairwise TDM	30	64	0.7%
Total valid		8,843	100.0%
Total		8,843

Row

income_detailed

Last year’s household income (detailed categories)

Label	Value	Counts	Percentages
Less than $15,000	1	479	5.4%
$15,000-$24,999	2	343	3.9%
$25,000-$34,999	3	331	3.7%
$35,000-$49,999	4	464	5.2%
$50,000-$74,999	5	825	9.3%
$75,000-$99,999	6	902	10.2%
$100,000-$149,999	7	1,428	16.1%
$150,000-$199,999	8	980	11.1%
$200,000-$249,999	9	649	7.3%
$250,000 or more	10	1,299	14.7%
Prefer not to answer	999	1,143	12.9%
Total valid		8,843	100.0%
Total		8,843

Row

income_followup

Last year’s household income (broad categories)
If preferred not to provide income in the sign-up survey

Label	Value	Counts	Percentages
Under $25,000	1	27	2.4%
$25,000-$49,999	2	21	1.9%
$50,000-$74,999	3	31	2.7%
$75,000-$99,999	4	28	2.5%
$100,000-$199,999	5	68	6.0%
$200,000 or more	6	97	8.6%
Prefer not to answer	999	857	75.9%
Missing Response	995	7,714
Total valid		1,129	100.0%
Total missing		7,714
Total		8,843

Row

income_broad

Last year’s household income (recoded broad categories)

Label	Value	Counts	Percentages
Under $25,000	1	849	9.6%
$25,000-$49,999	2	816	9.2%
$50,000-$74,999	3	856	9.7%
$75,000-$99,999	4	930	10.5%
$100,000-$199,999	5	2,476	28.0%
$200,000 or more	6	2,045	23.1%
Prefer not to answer	999	871	9.8%
Total valid		8,843	100.0%
Total		8,843

Row

num_people

Number of household members

Label	Value	Counts	Percentages
1 person	1	3,802	43.0%
2 people	2	3,106	35.1%
3 people	3	985	11.1%
4 people	4	674	7.6%
5 people	5	180	2.0%
6 people	6	64	0.7%
7 people	7	22	0.2%
8 people	8	5	0.1%
9 people	9	4	0.0%
10 people	10	1	0.0%
Total valid		8,843	100.0%
Total		8,843

Row

num_surveyable

Number of surveyable household members

Label	Value	Counts	Percentages
1 surveyable person	1	4,238	47.9%
2 surveyable persons	2	2,888	32.7%
3 surveyable persons	3	865	9.8%
4 surveyable persons	4	614	6.9%
5 surveyable persons	5	157	1.8%
6 surveyable persons	6	55	0.6%
7 surveyable persons	7	18	0.2%
8 surveyable persons	8	6	0.1%
9 surveyable persons	9	2	0.0%
Total valid		8,843	100.0%
Total		8,843

Row

num_participants

Number of participants

Label	Value	Counts	Percentages
1 participant	1	4,467	50.5%
2 participants	2	3,699	41.8%
3 participants	3	427	4.8%
4 participants	4	177	2.0%
5 participants	5	56	0.6%
6 participants	6	14	0.2%
7 participants	7	2	0.0%
9 participants	9	1	0.0%
Total valid		8,843	100.0%
Total		8,843

Row

num_adults

Number of adults

Label	Value	Counts	Percentages
1 adult	1	4,021	45.5%
2 adults	2	3,924	44.4%
3 adults	3	564	6.4%
4 adults	4	233	2.6%
5 adults	5	73	0.8%
6 adults	6	22	0.2%
7 adults	7	3	0.0%
9 adults	9	2	0.0%
10 adults	10	1	0.0%
Total valid		8,843	100.0%
Total		8,843

Row

num_kids

Number of children

Label	Value	Counts	Percentages
0 children	0	7,485	84.6%
1 child	1	713	8.1%
2 children	2	534	6.0%
3 children	3	88	1.0%
4 children	4	16	0.2%
5 children	5	3	0.0%
6 children	6	2	0.0%
7 children	7	2	0.0%
Total valid		8,843	100.0%
Total		8,843

Row

num_workers

Number of workers

Label	Value	Counts	Percentages
0 workers	0	2,207	25.0%
1 worker	1	3,884	43.9%
2 workers	2	2,393	27.1%
3 workers	3	267	3.0%
4 workers	4	67	0.8%
5 workers	5	15	0.2%
6 workers	6	7	0.1%
7 workers	7	2	0.0%
9 workers	9	1	0.0%
Total valid		8,843	100.0%
Total		8,843

Row

num_students

Number of students

Label	Value	Counts	Percentages
0 students	0	7,799	88.2%
1 student	1	881	10.0%
2 students	2	130	1.5%
3 students	3	21	0.2%
4 students	4	6	0.1%
5 students	5	3	0.0%
6 students	6	3	0.0%
Total valid		8,843	100.0%
Total		8,843

Row

num_vehicles

Number of vehicles

Label	Value	Counts	Percentages
0 (no vehicles in my household)	0	1,362	15.4%
1 vehicle	1	4,153	47.0%
2 vehicles	2	2,489	28.1%
3 vehicles	3	604	6.8%
4 vehicles	4	176	2.0%
5 vehicles	5	32	0.4%
6 vehicles	6	16	0.2%
7 vehicles	7	7	0.1%
8 or more vehicles	8	4	0.0%
Total valid		8,843	100.0%
Total		8,843

Row

num_bicycles

Number of bicycles

Label	Value	Counts	Percentages
0 (no bicycles in household)	0	3,922	45.1%
1 bicycle	1	1,996	23.0%
2 or more bicycles	2	2,779	32.0%
Missing Response	995	146
Total valid		8,697	100.0%
Total missing		146
Total		8,843

Row

bicycle_type

Type of bicycle
If number of bicycles > 0

Label	Variable Name	Counts	Percentages	Missing Counts
Standard bicycle	bicycle_type_1	4,646	95.6%	3,983
Electric bicycle	bicycle_type_2	629	12.9%	3,983
Other	bicycle_type_997	200	4.1%	3,983

Row

is_complete

Is complete
If surveyable

Label	Value	Counts	Percentages
Yes	1	8,843	100.0%
Total valid		8,843	100.0%
Total		8,843

Row

is_complete_a

Is complete under strict criteria A
If surveyable

Label	Value	Counts	Percentages
No	0	972	11.0%
Yes	1	7,871	89.0%
Total valid		8,843	100.0%
Total		8,843

Row

is_complete_b

Is complete under lenient criteria B
If surveyable

Label	Value	Counts	Percentages
No	0	258	2.9%
Yes	1	8,585	97.1%
Total valid		8,843	100.0%
Total		8,843

Row

pairwise_segment

Sample segment within pairwise sample
If sample segment is pairwise

Label	Value	Counts	Percentages
DBI Sample	1	41	89.1%
TDM Sample	2	5	10.9%
Not a pairwise sample	995	8,797
Total valid		46	100.0%
Total missing		8,797
Total		8,843

Person

Row

num_days_complete

Number of complete days
If surveyable

Label	Value	Counts	Percentages
1 day complete	1	5,720	34.9%
2 days complete	2	92	0.6%
3 days complete	3	104	0.6%
4 days complete	4	142	0.9%
5 days complete	5	356	2.2%
6 days complete	6	1,283	7.8%
7 days complete	7	8,675	53.0%
Missing Response	995	817
Total valid		16,372	100.0%
Total missing		817
Total		17,189

Row

hh_is_complete

Household day completion status

Label	Value	Counts	Percentages
Yes	1	17,189	100.0%
Total valid		17,189	100.0%
Total		17,189

Row

hh_is_complete_a

Person’s household is complete under strict criteria A

Label	Value	Counts	Percentages
No	0	2,326	13.5%
Yes	1	14,863	86.5%
Total valid		17,189	100.0%
Total		17,189

Row

hh_is_complete_b

Person’s household is complete under lenient criteria B

Label	Value	Counts	Percentages
No	0	628	3.7%
Yes	1	16,561	96.3%
Total valid		17,189	100.0%
Total		17,189

Row

surveyable

Survey participant (related to primary member)

Label	Value	Counts	Percentages
No	0	817	4.8%
Yes	1	16,372	95.2%
Total valid		17,189	100.0%
Total		17,189

Row

is_participant

Active participant (age 18+ and surveyable)

Label	Value	Counts	Percentages
No	0	2,948	17.2%
Yes	1	14,241	82.8%
Total valid		17,189	100.0%
Total		17,189

Row

is_complete

Is complete
If surveyable

Label	Value	Counts	Percentages
Yes	1	16,372	100.0%
Missing Response	995	817
Total valid		16,372	100.0%
Total missing		817
Total		17,189

Row

is_complete_a

Is complete under strict criteria A
If surveyable

Label	Value	Counts	Percentages
No	0	750	4.6%
Yes	1	15,622	95.4%
Missing Response	995	817
Total valid		16,372	100.0%
Total missing		817
Total		17,189

Row

is_complete_b

Is complete under lenient criteria B
If surveyable

Label	Value	Counts	Percentages
No	0	222	1.4%
Yes	1	16,150	98.6%
Missing Response	995	817
Total valid		16,372	100.0%
Total missing		817
Total		17,189

Row

ethnicity

If age 18+ and surveyable

Label	Variable Name	Counts	Percentages	Missing Counts
Not of Hispanic, Latino, or Spanish origin	ethnicity_1	10,259	82.0%	4,682
Mexican, Mexican American, Chicano	ethnicity_2	705	5.6%	4,682
Puerto Rican	ethnicity_3	72	0.6%	4,682
Cuban	ethnicity_4	37	0.3%	4,682
Another Hispanic, Latino, or Spanish origin	ethnicity_997	441	3.5%	4,682
Prefer not to answer	ethnicity_999	1,060	8.5%	4,682

Row

race

If age 18+ and surveyable

Label	Variable Name	Counts	Percentages	Missing Counts
African American or Black	race_1	556	4.4%	4,682
American Indian or Alaska Native	race_2	167	1.3%	4,682
Asian	race_3	4,138	33.1%	4,682
Native Hawaiian or other Pacific Islander	race_4	127	1.0%	4,682
White	race_5	6,514	52.1%	4,682
Other race	race_997	470	3.8%	4,682
Prefer not to answer	race_999	1,216	9.7%	4,682

Row

phone_type

Participant phone type
If age 18+ and surveyable

Label	Value	Counts	Percentages
Does not have a smartphone	0	1,743	19.8%
Has an Android phone	1	1,942	22.0%
Has an Apple iPhone	2	4,728	53.6%
Has other smartphone type	3	401	4.5%
Missing Response	995	8,375
Total valid		8,814	100.0%
Total missing		8,375
Total		17,189

Row

can_drive

Household member drives
If age 16+ and surveyable

Label	Value	Counts	Percentages
No, does not drive	0	2,066	14.3%
Yes, drives	1	12,402	85.7%
Missing Response	995	2,721
Total valid		14,468	100.0%
Total missing		2,721
Total		17,189

Row

student

Student status
If age 18+

Label	Value	Counts	Percentages
Full-time student, currently attending some or all classes in-person	0	563	3.7%
Part-time student, currently attending some or all classes in-person	1	302	2.0%
Not a student	2	13,778	91.6%
Part-time student, ONLY online classes	3	309	2.1%
Full-time student, ONLY online classes	4	87	0.6%
Missing Response	995	2,150
Total valid		15,039	100.0%
Total missing		2,150
Total		17,189

Row

relationship

Relationship to household person number 1

Label	Value	Counts	Percentages
Self	0	8,843	51.4%
Spouse, partner	1	3,862	22.5%
Child, child-in-law	2	2,523	14.7%
Parent, parent-in-law	3	685	4.0%
Sibling, sibling-in-law	4	272	1.6%
Other relative (grandchild, cousin)	5	187	1.1%
Nonrelative (friend, roommate, household help)	6	817	4.8%
Total valid		17,189	100.0%
Total		17,189

Row

age

Age of household member

Label	Value	Counts	Percentages
Under 5	1	606	3.5%
5 to 15	2	1,312	7.6%
16 to 17	3	232	1.3%
18 to 24	4	843	4.9%
25 to 34	5	3,363	19.6%
35 to 44	6	2,975	17.3%
45 to 54	7	2,152	12.5%
55 to 64	8	2,360	13.7%
65 to 74	9	2,216	12.9%
75 to 84	10	907	5.3%
85 and up	11	223	1.3%
Total valid		17,189	100.0%
Total		17,189

Row

gender

If person 1 or a related household member

Label	Value	Counts	Percentages
Female	1	7,997	48.8%
Male	2	7,531	46.0%
Non-binary	4	183	1.1%
Other/prefer to self-describe	997	31	0.2%
Prefer not to answer	999	630	3.8%
Missing Response	995	817
Total valid		16,372	100.0%
Total missing		817
Total		17,189

Row

disability

Disability status
If age 18+ and surveyable

Label	Value	Counts	Percentages
No	0	11,237	90.9%
Yes	1	629	5.1%
Prefer not to answer	999	501	4.1%
Missing Response	995	4,822
Total valid		12,367	100.0%
Total missing		4,822
Total		17,189

Row

disability_followup

Type of disability
If has a disability

Label	Variable Name	Counts	Percentages	Missing Counts
Deafness/serious difficulty hearing	disability_followup_1	26	4.1%	16,560
Blindness/serious difficulty seeing even when wearing glasses	disability_followup_2	29	4.6%	16,560
Other physical disability	disability_followup_3	502	79.8%	16,560
Other non-physical disability	disability_followup_4	119	18.9%	16,560
Prefer not to answer	disability_followup_999	30	4.8%	16,560

Row

residence_rent_own

Current residence ownership
If rMove respondent or bMove and person 1

Label	Value	Counts	Percentages
Own/buying (paying a mortgage)	1	6,452	52.2%
Rent	2	4,982	40.3%
Housing provided by job or military	3	27	0.2%
Provided by family, relative, or friend without payment or rent	4	448	3.6%
Other	997	117	0.9%
Prefer not to answer	999	342	2.8%
Missing Response	995	4,821
Total valid		12,368	100.0%
Total missing		4,821
Total		17,189

Row

residence_type

Type of current residence
If rMove respondent or bMove and person 1

Label	Value	Counts	Percentages
Single-family house (detached house)	1	5,862	47.4%
Single-family house attached to one or more houses (rowhouse or townhouse)	2	1,095	8.9%
Building with 2-4 units (duplexes, triplexes, quads)	3	1,398	11.3%
Building with 5-49 apartments/condos	4	2,140	17.3%
Building with 50 or more apartments/condos	5	1,544	12.5%
Senior or age-restricted apartments/condos	6	128	1.0%
Manufactured home/mobile home/trailer	7	127	1.0%
Dorm, group quarters, or institutional housing	9	35	0.3%
Other (e.g., boat, RV, van)	997	39	0.3%
Missing Response	995	4,821
Total valid		12,368	100.0%
Total missing		4,821
Total		17,189

Row

residence_dur

Time spent living at current residence
If rMove respondent or bMove and person 1

Label	Value	Counts	Percentages
Less than a year	1	1,580	12.8%
Between 1 and 2 years	2	1,458	11.8%
Between 2 and 3 years	3	1,315	10.6%
Between 3 and 5 years	4	1,359	11.0%
Between 5 and 10 years	5	1,659	13.4%
Between 10 and 20 years	6	2,175	17.6%
More than 20 years	7	2,822	22.8%
Missing Response	995	4,821
Total valid		12,368	100.0%
Total missing		4,821
Total		17,189

Row

language_at_home

Is language other than English spoken at home
If rMove respondent or bMove and person 1

Label	Value	Counts	Percentages
Yes	1	3,630	29.4%
No	2	8,086	65.4%
Prefer not to answer	3	650	5.3%
Missing Response	995	4,823
Total valid		12,366	100.0%
Total missing		4,823
Total		17,189

Row

participate

Willingness to participate in future studies
If age 18+ and surveyable

Label	Value	Counts	Percentages
No	0	2,565	18.1%
Yes	1	11,584	81.9%
Missing Response	995	3,040
Total valid		14,149	100.0%
Total missing		3,040
Total		17,189

Row

vehicle

Vehicle driven most often
If household has 1+ vehicles and person can drive

Label	Value	Counts	Percentages
Household vehicle 1	6	7,859	68.6%
Household vehicle 2	7	2,593	22.6%
Household vehicle 3	8	455	4.0%
Household vehicle 4	9	97	0.8%
Household vehicle 5	10	14	0.1%
Household vehicle 6	11	6	0.1%
Household vehicle 7	12	1	0.0%
A carshare vehicle (e.g., ZipCar)	18	22	0.2%
None (I do not drive a vehicle)	996	238	2.1%
Other vehicle	997	173	1.5%
Missing Response	995	5,731
Total valid		11,458	100.0%
Total missing		5,731
Total		17,189

Row

employment

Employment status
If age 16+

Label	Value	Counts	Percentages
Employed full-time (paid)	1	7,658	50.1%
Employed part-time (paid)	2	1,212	7.9%
Self-employed	3	1,009	6.6%
Not employed and not looking for work (e.g., retired, stay-at-home parent, student)	5	4,251	27.8%
Unemployed and looking for work	6	809	5.3%
Unpaid volunteer or intern	7	170	1.1%
Employed, but not currently working (e.g., on leave, furloughed 100%)	8	162	1.1%
Missing Response	995	1,918
Total valid		15,271	100.0%
Total missing		1,918
Total		17,189

Row

work_in_region

Work in study region
If employed and travels to one work location all or some days

Label	Value	Counts	Percentages
No	0	71	1.0%
Yes	1	6,738	99.0%
Missing Response	995	10,380
Total valid		6,809	100.0%
Total missing		10,380
Total		17,189

Row

industry

Job industry
If person is employed full/part/self/volunteer

Label	Value	Counts	Percentages
Agriculture, Forestry, Fishing, and Hunting	1	53	0.6%
Mining, Quarrying, and Oil and Gas Extraction	2	17	0.2%
Utilities	3	117	1.2%
Construction	4	253	2.7%
Manufacturing	5	414	4.4%
Wholesale Trade	6	54	0.6%
Retail Trade	7	315	3.3%
Transportation and Warehousing	8	223	2.4%
Information	9	910	9.7%
Finance and Insurance	10	491	5.2%
Real Estate and Rental and Leasing	11	132	1.4%
Professional, Scientific, and Technical Services	12	1,559	16.6%
Management of Companies and Enteprises	13	76	0.8%
Administrative and Support and Waste Management and Remediation Services	14	41	0.4%
Educational Servies	15	995	10.6%
Helath Care and Social Assitance	16	1,240	13.2%
Arts, Entertainment, and Recreation	17	350	3.7%
Accommodation and Food Services	18	344	3.7%
Other Services (except Public Administration)	19	192	2.0%
Public Administration	20	338	3.6%
Other, please specify	997	1,293	13.7%
Missing Response	995	7,782
Total valid		9,407	100.0%
Total missing		7,782
Total		17,189

Row

occupation

If person is employed full/part/self/volunteer

Label	Value	Counts	Percentages
Management	1	730	7.8%
Business and Financial Operations	2	779	8.3%
Computer and Mathematical	3	1,411	15.0%
Architecture and Engineering	4	689	7.3%
Life, Physical, and Social Science	5	330	3.5%
Community and Social Service	6	242	2.6%
Legal	7	309	3.3%
Educational Instruction and Library	8	617	6.6%
Arts, Design, Entertainment, Sports, and Media	9	404	4.3%
Healthcare Practitioners and Technical	10	633	6.7%
Healthcare Support	11	261	2.8%
Protective Service	12	36	0.4%
Food Preparation and Serving Related	13	217	2.3%
Building and Grounds Cleaning and Maintenance	14	61	0.6%
Personal Care and Service	15	111	1.2%
Sales and Related	16	423	4.5%
Office and Administrative Support	17	453	4.8%
Farming, Fishing, and Forestry	18	33	0.4%
Construction and Extraction	19	106	1.1%
Installation, Maintenance, and Repair	20	96	1.0%
Production	21	119	1.3%
Transportation and Material Moving	22	155	1.6%
Military Specific	23	23	0.2%
Other, please specify	997	1,170	12.4%
Missing Response	995	7,781
Total valid		9,408	100.0%
Total missing		7,781
Total		17,189

Row

job_type

Work location type
If person is employed full/part/self/volunteer and surveyable

Label	Value	Counts	Percentages
Go to one work location ONLY (outside of home)	1	3,371	35.7%
Work location regularly varies (different offices/jobsites)	2	794	8.4%
Work ONLY from home or remotely (telework, self-employed)	3	1,712	18.1%
Drive/bike/travel for work (driver, sales, deliveries)	4	130	1.4%
Work remotely some days and travel to a work location some days	5	3,438	36.4%
Missing Response	995	7,744
Total valid		9,445	100.0%
Total missing		7,744
Total		17,189

Row

num_jobs

Number of jobs
If person is employed full/part/self/volunteer/furloughed and surveyable

Label	Value	Counts	Percentages
1 job	1	8,680	90.4%
2 jobs	2	724	7.5%
3 jobs	3	141	1.5%
4 jobs	4	26	0.3%
5 jobs	5	12	0.1%
6 or more jobs	6	18	0.2%
Missing Response	995	7,588
Total valid		9,601	100.0%
Total missing		7,588
Total		17,189

Row

commute_freq

Work commute frequency
If person is employed full/part/self/volunteer and does NOT only work from home nor drive/bike/travel for work

Label	Value	Counts	Percentages
6-7 days a week	1	311	4.1%
5 days a week	2	2,422	32.0%
4 days a week	3	939	12.4%
3 days a week	4	1,519	20.1%
2 days a week	5	920	12.2%
1 day a week	6	575	7.6%
1-3 days a month	7	441	5.8%
Less than monthly	8	210	2.8%
Never	996	231	3.1%
Missing Response	995	9,621
Total valid		7,568	100.0%
Total missing		9,621
Total		17,189

Row

pre_covid_commute_freq

Work commute frequency before March 2020
If age 18+

Label	Value	Counts	Percentages
6-7 days a week	1	686	4.8%
5 days a week	2	7,059	49.6%
4 days a week	3	1,082	7.6%
3 days a week	4	726	5.1%
2 days a week	5	280	2.0%
1 day a week	6	166	1.2%
1-3 days a month	7	225	1.6%
Less than monthly	8	265	1.9%
Never	996	3,745	26.3%
Missing Response	995	2,955
Total valid		14,234	100.0%
Total missing		2,955
Total		17,189

Row

telework_freq

How often teleworks
If person does NOT work only from home

Label	Value	Counts	Percentages
6-7 days a week	1	198	2.6%
5 days a week	2	692	9.0%
4 days a week	3	587	7.6%
3 days a week	4	877	11.4%
2 days a week	5	1,272	16.5%
1 day a week	6	647	8.4%
1-3 days a month	7	545	7.1%
Less than monthly	8	458	6.0%
Never	996	2,420	31.4%
Missing Response	995	9,493
Total valid		7,696	100.0%
Total missing		9,493
Total		17,189

Row

can_telework

Employer allows teleworking
If person commutes 6-7 days a week OR never teleworks

Label	Value	Counts	Percentages
Yes	1	282	11.0%
No	2	2,278	89.0%
Missing Response	995	14,629
Total valid		2,560	100.0%
Total missing		14,629
Total		17,189

Row

work_mode

Mode of transportation to work
If person is employed full/part/self/volunteer and does NOT only work from home or never commutes nor drive/bike/travel for work

Label	Value	Counts	Percentages
Walk (or jog/wheelchair)	1	386	5.3%
Medical transportation service	27	2	0.0%
Household vehicle (or motorcycle)	100	4,429	60.4%
Other vehicle (e.g., friend's car, rental, carshare, work car)	101	157	2.1%
Bus, shuttle, or vanpool	102	744	10.1%
Bicycle	103	395	5.4%
Other	104	132	1.8%
Rail (e.g., train, light rail, trolley, BART, MUNI Metro)	105	986	13.4%
Uber/Lyft, taxi, car service	106	72	1.0%
Micromobility (e.g., scooter, moped, skateboard)	107	33	0.4%
Missing Response	995	9,853
Total valid		7,336	100.0%
Total missing		9,853
Total		17,189

Row

pre_covid_mode

How person got to workplace before COVID
If person is 18 or older and commuted before COVID

Label	Value	Counts	Percentages
Walk (or jog/wheelchair)	1	658	6.3%
Medical transportation service	27	5	0.0%
Household vehicle (or motorcycle)	100	6,006	57.3%
Other vehicle (e.g., friend's car, rental, carshare, work car)	101	243	2.3%
Bus, shuttle, or vanpool	102	1,195	11.4%
Bicycle	103	514	4.9%
Other	104	194	1.8%
Rail (e.g., train, light rail, trolley, BART, MUNI Metro)	105	1,528	14.6%
Uber/Lyft, taxi, car service	106	115	1.1%
Micromobility (e.g., scooter, moped, skateboard)	107	31	0.3%
Missing Response	995	6,700
Total valid		10,489	100.0%
Total missing		6,700
Total		17,189

Row

school_attend

School structure
If person is under 18 and surveyable, and is NOT cared for at home, attending daycare outside of home, or home schooled

Label	Value	Counts	Percentages
Attending classes all in-person at school	1	1,646	97.2%
Attending classes partially in-person at school and partially remote	2	31	1.8%
Attending all remote/online classes	3	17	1.0%
Missing Response	995	15,495
Total valid		1,694	100.0%
Total missing		15,495
Total		17,189

Row

school_mode

Mode of transportation to school
If person is a student who attends all or some classes in person

Label	Value	Counts	Percentages
Walk (or jog/wheelchair)	1	431	16.8%
School bus	24	71	2.8%
Medical transportation service	27	2	0.1%
Household vehicle (or motorcycle)	100	1,421	55.5%
Other vehicle (e.g., friend's car, rental, carshare, work car)	101	76	3.0%
Bus, shuttle, or vanpool	102	202	7.9%
Bicycle	103	176	6.9%
Other	104	52	2.0%
Rail (e.g., train, light rail, trolley, BART, MUNI Metro)	105	101	3.9%
Uber/Lyft, taxi, car service	106	13	0.5%
Micromobility (e.g., scooter, moped, skateboard)	107	14	0.5%
Missing Response	995	14,630
Total valid		2,559	100.0%
Total missing		14,630
Total		17,189

Row

education

Highest level of education completed
If age 18+

Label	Value	Counts	Percentages
Less than high school	1	167	1.4%
High school graduate/GED	2	522	4.2%
Some college	3	1,180	9.5%
Vocational/technical training	4	251	2.0%
Associate degree	5	496	4.0%
Bachelor's degree	6	4,533	36.7%
Graduate/post-graduate degree	7	4,759	38.5%
Prefer not to answer	999	458	3.7%
Missing Response	995	4,823
Total valid		12,366	100.0%
Total missing		4,823
Total		17,189

Row

school_type

Type of school attends
If person is a surveyable adult student OR under 16 and surveyable

Label	Value	Counts	Percentages
Cared for at home	1	241	7.4%
Daycare outside home	2	153	4.7%
Preschool	3	188	5.8%
Home school	4	43	1.3%
Elementary school (public, private, charter)	5	754	23.3%
Middle school (public, private, charter)	6	330	10.2%
High school (public, private, charter)	7	442	13.7%
Vocational/technical school	10	72	2.2%
2-year college	11	277	8.6%
4-year college	12	206	6.4%
Graduate or professional school	13	337	10.4%
Other	997	195	6.0%
Missing Response	995	13,951
Total valid		3,238	100.0%
Total missing		13,951
Total		17,189

Row

school_freq

Frequency of travel to school
If person is a student under 18 who attends some or all in-person classes or attends daycare outside the home

Label	Value	Counts	Percentages
6-7 days a week	1	27	1.5%
5 days a week	2	1,681	91.9%
4 days a week	3	24	1.3%
3 days a week	4	32	1.7%
2 days a week	5	26	1.4%
1 day a week	6	6	0.3%
1-3 days a month	7	2	0.1%
Less than monthly	8	4	0.2%
Never	996	28	1.5%
Missing Response	995	15,359
Total valid		1,830	100.0%
Total missing		15,359
Total		17,189

Row

remote_class_freq

Frequency of remote schooling
If person is a student and not cared for at home nor daycare outside home

Label	Value	Counts	Percentages
6-7 days a week	1	68	2.4%
5 days a week	2	170	6.0%
4 days a week	3	58	2.0%
3 days a week	4	112	3.9%
2 days a week	5	159	5.6%
1 day a week	6	177	6.2%
1-3 days a month	7	75	2.6%
Less than monthly	8	162	5.7%
Never	996	1,861	65.5%
Missing Response	995	14,347
Total valid		2,842	100.0%
Total missing		14,347
Total		17,189

Row

school_in_region

School in study region
If person is under 16 or an adult student, surveyable, and attends school in-person

Label	Value	Counts	Percentages
No	0	54	2.1%
Yes	1	2,524	97.9%
Missing Response	995	14,611
Total valid		2,578	100.0%
Total missing		14,611
Total		17,189

Row

second_home

Regularly spends the night at a second home (e.g., another parent or grandparent’s house, partner or spouse’s home, or a vacation home)
If person is surveyable

Label	Value	Counts	Percentages
Does not regularly spend night at second home	0	15,322	93.6%
Regularly spends night at second home	1	1,050	6.4%
Missing Response	995	817
Total valid		16,372	100.0%
Total missing		817
Total		17,189

Row

second_home_in_region

Second home in study region
If person regularly spends the night at a second home

Label	Value	Counts	Percentages
No	0	249	23.7%
Yes	1	801	76.3%
Missing Response	995	16,139
Total valid		1,050	100.0%
Total missing		16,139
Total		17,189

Row

clipper_card

Has a Clipper Card
If age 18+ and surveyable

Label	Value	Counts	Percentages
Yes	1	9,572	67.7%
No	2	4,577	32.3%
Missing Response	995	3,040
Total valid		14,149	100.0%
Total missing		3,040
Total		17,189

Row

clipper_card_use

How Clipper Card is used
If person has a Clipper Card

Label	Variable Name	Counts	Percentages	Missing Counts
Load with Clipper Cash	clipper_card_use_1	8,739	91.3%	7,617
Load with transit pass(es)	clipper_card_use_2	1,474	15.4%	7,617

Row

transit_pass

Ownership/type of transit pass
If person uses transit and does NOT load their Clipper Card with transit pass(es)

Label	Value	Counts	Percentages
No	0	12,064	95.2%
Yes	1	611	4.8%
Missing Response	995	4,514
Total valid		12,675	100.0%
Total missing		4,514
Total		17,189

Row

transit_pass_cost

Monthly cost for a transit pass
If person has a transit pass or a Clipper Card loaded with transit pass(es)

Label	Value	Counts	Percentages
Knows amount paid	1	1,149	55.1%
Don't know	998	936	44.9%
Missing Response	995	15,104
Total valid		2,085	100.0%
Total missing		15,104
Total		17,189

Row

commute_subsidy

Commute benefits provided by employer
If person is employed full/part/self/volunteer/furloughed

Label	Variable Name	Counts	Percentages	Missing Counts
Free (fully subsidized) parking at work	commute_subsidy_3	3,916	40.9%	7,626
Discounted (partially subsidized) parking at work	commute_subsidy_4	408	4.3%	7,626
Ability to work from home	commute_subsidy_5	2,735	28.6%	7,626
Free/discount transit fare	commute_subsidy_6	1,704	17.8%	7,626
Free/discount vanpool	commute_subsidy_7	328	3.4%	7,626
Cash or incentives for carpooling, walking, or biking to work	commute_subsidy_8	495	5.2%	7,626
Free/discount Uber, Lyft, or other smartphone-app ride service	commute_subsidy_9	200	2.1%	7,626
Free/discount carshare membership/use (e.g., ZipCar)	commute_subsidy_10	65	0.7%	7,626
Free/discount shuttle service	commute_subsidy_11	871	9.1%	7,626
Free/discount bikeshare membership	commute_subsidy_12	149	1.6%	7,626
Free/discount bicycle tune-up/maintinance	commute_subsidy_13	211	2.2%	7,626
Commute coordination/education	commute_subsidy_14	291	3.0%	7,626
None of the above	commute_subsidy_996	2,722	28.5%	7,626
Other	commute_subsidy_997	437	4.6%	7,626
Don't know	commute_subsidy_998	494	5.2%	7,626

Row

commute_subsidy_use

Commute benefit used
If person’s employer provides this benefit

Label	Variable Name	Counts	Percentages	Missing Counts
Free (fully subsidized) parking at work	commute_subsidy_use_3	3,188	51.8%	11,037
Discounted (partially subsidized) parking at work	commute_subsidy_use_4	169	2.7%	11,037
Ability to work from home	commute_subsidy_use_5	2,468	40.1%	11,037
Free/discount transit fare	commute_subsidy_use_6	829	13.5%	11,037
Free/discount vanpool	commute_subsidy_use_7	27	0.4%	11,037
Cash or incentives for carpooling, walking, or biking to work	commute_subsidy_use_8	110	1.8%	11,037
Free/discount Uber, Lyft, or other smartphone-app ride service	commute_subsidy_use_9	72	1.2%	11,037
Free/discount carshare membership/use (e.g., ZipCar)	commute_subsidy_use_10	14	0.2%	11,037
Free/discount shuttle service	commute_subsidy_use_11	370	6.0%	11,037
Free/discount bikeshare membership	commute_subsidy_use_12	32	0.5%	11,037
Free/discount bicycle tune-up/maintinance	commute_subsidy_use_13	36	0.6%	11,037
Commute coordination/education	commute_subsidy_use_14	39	0.6%	11,037
None of the above	commute_subsidy_use_996	939	15.3%	11,037

Row

work_amenity

Work amenity
If person travels to a work location

Label	Variable Name	Counts	Percentages	Missing Counts
Onsite child-care facility	work_amenity_1	373	4.9%	9,622
Dedicated bicycle parking/storage	work_amenity_2	2,822	37.3%	9,622
Dedicated lockers/storage for deliveries	work_amenity_3	702	9.3%	9,622
Dedicated storage area for family items (e.g., strollers)	work_amenity_4	160	2.1%	9,622
Bicycle repair station (e.g., in building, garage)	work_amenity_5	457	6.0%	9,622
Shared bicycles for employee use	work_amenity_6	441	5.8%	9,622
Showers/clothes lockers	work_amenity_7	2,001	26.4%	9,622
Bicycle valet parking	work_amenity_8	74	1.0%	9,622
None of the above	work_amenity_996	3,263	43.1%	9,622
Don't know	work_amenity_998	732	9.7%	9,622

Row

work_amenity_use

Work amenity_use
If person has this amenity available at work

Label	Variable Name	Counts	Percentages	Missing Counts
Onsite child-care facility	work_amenity_use_1	29	0.8%	13,617
Dedicated bicycle parking/storage	work_amenity_use_2	608	17.0%	13,617
Deditcated lockers/storage for deliveries	work_amenity_use_3	214	6.0%	13,617
Dedicated storage area for family items (e.g., strollers)	work_amenity_use_4	26	0.7%	13,617
Bicycle repair station (e.g., in building, garage)	work_amenity_use_5	89	2.5%	13,617
Shared bicycles for employee use	work_amenity_use_6	140	3.9%	13,617
Showers/clothes lockers	work_amenity_use_7	583	16.3%	13,617
Bicycle valet parking	work_amenity_use_8	9	0.3%	13,617
None of the above	work_amenity_use_996	2,307	64.6%	13,617
Don't know	work_amenity_use_998	26	0.7%	13,617

Row

work_park

How parking at work is typically paid for
If person travels to a work location

Label	Value	Counts	Percentages
Parking is always free at/near work, at park & ride, etc.	1	4,361	57.6%
Employer pays ALL parking costs (for me)	2	426	5.6%
Employer offers discounted parking (I pay some)	3	145	1.9%
I personally pay some or all parking costs (employer pays none)	4	712	9.4%
Not applicable (I never drive to work)	996	1,826	24.1%
Don't know	998	98	1.3%
Missing Response	995	9,621
Total valid		7,568	100.0%
Total missing		9,621
Total		17,189

Row

work_pay_cost

How much person personally pays to park at/near work
If person pays for all or part of their parking at work

Label	Value	Counts	Percentages
Cost reported per day	1	437	51.0%
Cost reported per week	2	37	4.3%
Cost reported per month	3	190	22.2%
Cost reported per year	4	50	5.8%
Don't know	998	143	16.7%
Missing Response	995	16,332
Total valid		857	100.0%
Total missing		16,332
Total		17,189

Row

home_park_pass

Does vehicle have a permit/pass for parking at/near home
If vehicle driven most is a household vehicle

Label	Value	Counts	Percentages
Yes, vehicle has permit/pass for parking at/near home	1	1,431	13.0%
No permit/pass needed – typically park at home	2	8,178	74.2%
No permit/pass needed – typically park on street	3	1,189	10.8%
No permit/pass needed – typically park elsewhere	4	227	2.1%
Missing Response	995	6,164
Total valid		11,025	100.0%
Total missing		6,164
Total		17,189

Row

home_park_cost

Cost for permit/pass to park at/near home
If person’s vehicle has a permit/pass for parking at home

Label	Value	Counts	Percentages
Cost reported per day	1	87	6.1%
Cost reported per week	2	11	0.8%
Cost reported per month	3	266	18.6%
Cost reported per year	4	587	41.0%
Don't know	998	479	33.5%
Missing Response	995	15,759
Total valid		1,430	100.0%
Total missing		15,759
Total		17,189

Row

home_vehicle_park

Where vehicle is usually parked at home
If rMove respondent or bMove and person 1, who is licensed and has household vehicles

Label	Value	Counts	Percentages
Home driveway/garage	1	7,798	75.7%
Parking lot/garage	2	984	9.6%
On-street parking	3	1,518	14.7%
Missing Response	995	6,889
Total valid		10,300	100.0%
Total missing		6,889
Total		17,189

Row

home_vehicle_park_pay

Does person pay to park vehicle at home
If rMove respondent or bMove and person 1, who is licensed and has household vehicles

Label	Value	Counts	Percentages
No	0	9,469	91.9%
Yes	1	831	8.1%
Missing Response	995	6,889
Total valid		10,300	100.0%
Total missing		6,889
Total		17,189

Row

home_vehicle_pay_type

How does person pay to park vehicle at home
If person pays to park at home

Label	Value	Counts	Percentages
I pay a separate parking fee to my landlord depending on how many parking spots I use	1	300	36.1%
I pay a separate parking fee to my landlord which is required/bundled with my rent	2	316	38.0%
I pay to park somewhere else	3	215	25.9%
Missing Response	995	16,358
Total valid		831	100.0%
Total missing		16,358
Total		17,189

Row

residence_benefits

Benefits provided by apartment building
If person lives in a building/complex with multiple units or age-restricted apartments/condos

Label	Variable Name	Counts	Percentages	Missing Counts
Free/discount transit fare	residence_benefits_1	57	1.1%	11,979
Free/discount vanpool	residence_benefits_2	22	0.4%	11,979
Free/discount Uber, Lyft trips	residence_benefits_3	16	0.3%	11,979
Free/discount bikeshare membership	residence_benefits_4	15	0.3%	11,979
Free/discount bicycle tune-up service	residence_benefits_5	14	0.3%	11,979
Free/discount carshare membership/use	residence_benefits_6	18	0.3%	11,979
Free/discount shuttle service	residence_benefits_7	83	1.6%	11,979
Cash payment to not park vehicle at residence	residence_benefits_8	9	0.2%	11,979
None of the Above	residence_benefits_996	4,847	93.0%	11,979
Don't know	residence_benefits_998	182	3.5%	11,979

Row

residence_benefits_use

Benefits offered by apartment building that are used
If person’s apartment building provides this benefit

Label	Variable Name	Counts	Percentages	Missing Counts
Free/discount transit fare	residence_benefits_use_1	36	19.9%	17,008
Free/discount vanpool	residence_benefits_use_2	4	2.2%	17,008
Free/discount Uber, Lyft trips	residence_benefits_use_3	6	3.3%	17,008
Free/discount bikeshare membership	residence_benefits_use_4	3	1.7%	17,008
Free/discount bicycle tune-up service	residence_benefits_use_5	3	1.7%	17,008
Free/discount carshare membership/use	residence_benefits_use_6	6	3.3%	17,008
Free/discount shuttle service	residence_benefits_use_7	28	15.5%	17,008
Cash payment to not park vehicle at residence	residence_benefits_use_8	4	2.2%	17,008
Don't know	residence_benefits_use_996	93	51.4%	17,008
None of the Above	residence_benefits_use_998	6	3.3%	17,008

Vehicle

Row

fuel_type

Vehicle fuel type

Label	Value	Counts	Percentages
Gas	1	9,298	77.6%
Hybrid (HEV)	2	1,118	9.3%
Plug-in hybrid (PHEV)	3	315	2.6%
Electric (EV)	4	1,095	9.1%
Diesel	5	119	1.0%
Flex fuel (FFV)	6	25	0.2%
Other (e.g., natural gas, bio-diesel)	997	14	0.1%
Total valid		11,984	100.0%
Total		11,984

Row

toll_transponder

Vehicle has toll transponder

Label	Value	Counts	Percentages
No	0	2,976	24.8%
Yes	1	9,008	75.2%
Total valid		11,984	100.0%
Total		11,984

Row

year

Vehicle year

Label	Value	Counts	Percentages
1980 or earlier	1980	141	1.2%
1981	1981	11	0.1%
1982	1982	3	0.0%
1983	1983	4	0.0%
1984	1984	10	0.1%
1985	1985	14	0.1%
1986	1986	17	0.1%
1987	1987	10	0.1%
1988	1988	9	0.1%
1989	1989	20	0.2%
1990	1990	20	0.2%
1991	1991	29	0.2%
1992	1992	24	0.2%
1993	1993	29	0.2%
1994	1994	31	0.3%
1995	1995	41	0.3%
1996	1996	47	0.4%
1997	1997	80	0.7%
1998	1998	98	0.8%
1999	1999	145	1.2%
2000	2000	171	1.4%
2001	2001	171	1.4%
2002	2002	185	1.5%
2003	2003	242	2.0%
2004	2004	280	2.3%
2005	2005	313	2.6%
2006	2006	357	3.0%
2007	2007	371	3.1%
2008	2008	342	2.9%
2009	2009	286	2.4%
2010	2010	412	3.4%
2011	2011	408	3.4%
2012	2012	475	4.0%
2013	2013	642	5.4%
2014	2014	612	5.1%
2015	2015	674	5.6%
2016	2016	704	5.9%
2017	2017	742	6.2%
2018	2018	791	6.6%
2019	2019	653	5.4%
2020	2020	550	4.6%
2021	2021	559	4.7%
2022	2022	553	4.6%
2023	2023	644	5.4%
2024	2024	64	0.5%
Total valid		11,984	100.0%
Total		11,984

Row

make

Vehicle make

Label	Value	Counts	Percentages
	Acura	197	1.6%
	Alfa Romeo	12	0.1%
	Audi	200	1.7%
	BMW	434	3.6%
	Bentley	3	0.0%
	Bertone	1	0.0%
	Bugatti	1	0.0%
	Buick	37	0.3%
	Cadillac	29	0.2%
	Chevrolet	492	4.1%
	Chrysler	64	0.5%
	Dodge	116	1.0%
	Ferrari	3	0.0%
	Fiat	30	0.3%
	Fisker	1	0.0%
	Ford	639	5.3%
	GM Electric Vehicle	1	0.0%
	GMC	65	0.5%
	Genesis	10	0.1%
	Geo	2	0.0%
	Honda	1,882	15.7%
	Hyundai	369	3.1%
	Infiniti	71	0.6%
	Isuzu	2	0.0%
	Jaguar	11	0.1%
	Jeep	137	1.1%
	Kia	191	1.6%
	Lamborghini	1	0.0%
	Land Rover	23	0.2%
	Lexus	431	3.6%
	Lincoln	23	0.2%
	Lotus	1	0.0%
	Lucid	4	0.0%
	MINI	130	1.1%
	Maserati	1	0.0%
	Mazda	502	4.2%
	Mercedes-Benz	301	2.5%
	Mercury	13	0.1%
	Mitsubishi	33	0.3%
	Nissan	504	4.2%
	Oldsmobile	2	0.0%
	Other	315	2.6%
	Plymouth	2	0.0%
	Polestar	13	0.1%
	Pontiac	15	0.1%
	Porsche	74	0.6%
	Ram	28	0.2%
	Rivian	10	0.1%
	Saab	10	0.1%
	Saturn	18	0.2%
	Scion	52	0.4%
	Subaru	667	5.6%
	Suzuki	18	0.2%
	Tesla	621	5.2%
	Toyota	2,679	22.4%
	VinFast	1	0.0%
	Volkswagen	334	2.8%
	Volvo	142	1.2%
	smart	16	0.1%
Total valid		11,984	100.0%
Total		11,984

Row

model

Vehicle model

Label	Value	Counts	Percentages
	86	1	0.0%
	164	1	0.0%
	190	1	0.0%
	200	7	0.1%
	240	5	0.0%
	280	1	0.0%
	300	7	0.1%
	380	1	0.0%
	500	9	0.1%
	500e	8	0.1%
	626	1	0.0%
	900	3	0.0%
	911	17	0.1%
	1500	12	0.1%
	2500	3	0.0%
	3500	1	0.0%
	1 series	6	0.1%
	124 Spider	5	0.0%
	1500 Classic	2	0.0%
	2 series	13	0.1%
	3 series	161	1.3%
	3000GT	1	0.0%
	300C	1	0.0%
	300M	3	0.0%
	300ZX	1	0.0%
	328 GTB	1	0.0%
	350Z	1	0.0%
	370Z	3	0.0%
	4 series	18	0.2%
	4Runner	66	0.6%
	5 series	43	0.4%
	500 ABARTH	3	0.0%
	500L	2	0.0%
	500c	2	0.0%
	550 Maranello	1	0.0%
	6 series	1	0.0%
	7 series	4	0.0%
	718 Boxster	2	0.0%
	718 Cayman	2	0.0%
	8 series	1	0.0%
	850 Series	5	0.0%
	9-2X	1	0.0%
	9-3	4	0.0%
	9-5	1	0.0%
	9-7X	1	0.0%
	940 Series	6	0.1%
	A-Class	2	0.0%
	A3	26	0.2%
	A3 Sportback e-tron	5	0.0%
	A3/S3	1	0.0%
	A4	43	0.4%
	A4 allroad	3	0.0%
	A5	7	0.1%
	A6	9	0.1%
	A8	2	0.0%
	AMG GT	1	0.0%
	ATS	5	0.0%
	Acadia	3	0.0%
	Accent	24	0.2%
	Accord	347	2.9%
	Accord Crosstour	1	0.0%
	Accord Hybrid	31	0.3%
	Aerio	1	0.0%
	Air	4	0.0%
	Allante	1	0.0%
	Altima	95	0.8%
	Amanti	1	0.0%
	Ariya	2	0.0%
	Armada	2	0.0%
	Ascent	8	0.1%
	Aspen	2	0.0%
	Astro	4	0.0%
	Atlas	2	0.0%
	Atlas Cross Sport	2	0.0%
	Avalanche	2	0.0%
	Avalon	49	0.4%
	Avalon Hybrid	2	0.0%
	Avenger	5	0.0%
	Aveo	1	0.0%
	Aveo5	1	0.0%
	Aviator	1	0.0%
	Azera	2	0.0%
	Azure	1	0.0%
	B-Class	2	0.0%
	B-Series	3	0.0%
	BRZ	5	0.0%
	Baja	2	0.0%
	Beetle	8	0.1%
	Blazer	3	0.0%
	Blazer EV	1	0.0%
	Bolt EUV	43	0.4%
	Bolt EV	89	0.7%
	Boxster	10	0.1%
	Bronco	3	0.0%
	Bronco Sport	5	0.0%
	C-Class	63	0.5%
	C-HR	12	0.1%
	C-Max Energi	10	0.1%
	C-Max Hybrid	14	0.1%
	C1500	3	0.0%
	C2500	1	0.0%
	C30	6	0.1%
	C3500	1	0.0%
	C70	4	0.0%
	CC	2	0.0%
	CJ7	2	0.0%
	CL	3	0.0%
	CLA-Class	9	0.1%
	CLK-Class	11	0.1%
	CR-V	344	2.9%
	CR-V Hybrid	19	0.2%
	CR-Z	4	0.0%
	CT 200h	28	0.2%
	CT4	1	0.0%
	CTS	2	0.0%
	CTS-V	1	0.0%
	CX-3	11	0.1%
	CX-30	18	0.2%
	CX-5	120	1.0%
	CX-50	6	0.1%
	CX-7	4	0.0%
	CX-9	22	0.2%
	CX-90	1	0.0%
	Cabrio	2	0.0%
	Caliber	2	0.0%
	Camaro	14	0.1%
	Camry	418	3.5%
	Camry Hybrid	19	0.2%
	Camry Solara	10	0.1%
	Canyon	5	0.0%
	Caprice	1	0.0%
	Captiva Sport	1	0.0%
	Caravan	9	0.1%
	Carrera GT	1	0.0%
	Cavalier	6	0.1%
	Cayenne	13	0.1%
	Cayman	8	0.1%
	Celebrity	2	0.0%
	Celica	4	0.0%
	Century	2	0.0%
	Challenger	9	0.1%
	Charger	11	0.1%
	Cherokee	20	0.2%
	Chiron	1	0.0%
	City Golf	1	0.0%
	Civic	473	3.9%
	Civic Type R	1	0.0%
	Civic del SOL	5	0.0%
	Clarity	29	0.2%
	Clubman	2	0.0%
	Cobalt	3	0.0%
	Colorado	14	0.1%
	Commander	1	0.0%
	Compass	7	0.1%
	Concorde	2	0.0%
	Continental	1	0.0%
	Cooper	111	0.9%
	Cooper Countryman	11	0.1%
	Corolla	403	3.4%
	Corolla Cross	3	0.0%
	Corolla Hatchback	5	0.0%
	Corolla Hybrid	5	0.0%
	Corsica	1	0.0%
	Corvette	13	0.1%
	Corvette Grand Sport	1	0.0%
	Cougar	1	0.0%
	Crossfire	1	0.0%
	Crosstour	3	0.0%
	Crosstrek	101	0.8%
	Crown Hybrid	1	0.0%
	Crown Victoria	9	0.1%
	Cruze	19	0.2%
	Cruze Limited	1	0.0%
	Cutlass Supreme	1	0.0%
	DTS	2	0.0%
	Dakota	7	0.1%
	Dart	3	0.0%
	Defender 110	1	0.0%
	Defender 130	1	0.0%
	Deville	1	0.0%
	Discovery Sport	3	0.0%
	Durango	9	0.1%
	E-450 Super Duty	1	0.0%
	E-Class	54	0.5%
	EL	1	0.0%
	ELR	1	0.0%
	EQB-Class	1	0.0%
	EQS-Class	3	0.0%
	ES 250	1	0.0%
	ES 300	9	0.1%
	ES 300h	18	0.2%
	ES 330	6	0.1%
	ES 350	51	0.4%
	EV6	11	0.1%
	EX35	2	0.0%
	Echo	10	0.1%
	Eclipse	1	0.0%
	Econoline	10	0.1%
	Ecosport	4	0.0%
	Edge	24	0.2%
	Elantra	78	0.7%
	Elantra GT	7	0.1%
	Elantra HEV	4	0.0%
	Elantra Touring	4	0.0%
	Eldorado	1	0.0%
	Electrified G80	1	0.0%
	Element	29	0.2%
	Elise	1	0.0%
	Enclave	3	0.0%
	Encore	4	0.0%
	Encore GX	1	0.0%
	Endeavor	2	0.0%
	Envision	1	0.0%
	Eos	2	0.0%
	Equinox	24	0.2%
	Escalade	3	0.0%
	Escalade ESV	1	0.0%
	Escalade EXT	1	0.0%
	Escape	79	0.7%
	Escape Hybrid	11	0.1%
	Escort	5	0.0%
	EuroVan	5	0.0%
	Excursion	3	0.0%
	Expedition	11	0.1%
	Expedition EL	1	0.0%
	Expedition MAX	2	0.0%
	Explorer	40	0.3%
	Explorer Sport	1	0.0%
	Explorer Sport Trac	4	0.0%
	Express	3	0.0%
	F-150	73	0.6%
	F-150 Lightning	1	0.0%
	F-250	15	0.1%
	F-350	11	0.1%
	F-450	1	0.0%
	F-Pace	1	0.0%
	F-Type	2	0.0%
	F430	1	0.0%
	FJ Cruiser	7	0.1%
	FR-S	4	0.0%
	FX35	4	0.0%
	Fiesta	21	0.2%
	Firebird	2	0.0%
	Fit	204	1.7%
	Five Hundred	1	0.0%
	Flex	8	0.1%
	Focus	55	0.5%
	Forester	211	1.8%
	Forte	13	0.1%
	Frontier	33	0.3%
	Fusion	48	0.4%
	Fusion Energi	9	0.1%
	Fusion Hybrid	15	0.1%
	G-Class	2	0.0%
	G1500	1	0.0%
	G2500 Vandura	1	0.0%
	G35	10	0.1%
	G3500	1	0.0%
	G3500 Vandura	1	0.0%
	G35x	1	0.0%
	G37	9	0.1%
	G37x	3	0.0%
	G5	1	0.0%
	G6	1	0.0%
	G70	1	0.0%
	G8	1	0.0%
	G80	1	0.0%
	GL-Class	7	0.1%
	GLA-Class	17	0.1%
	GLB-Class	5	0.0%
	GLC-Class	24	0.2%
	GLE-Class	15	0.1%
	GLK-Class	17	0.1%
	GLS-Class	5	0.0%
	GR Supra	2	0.0%
	GR86	1	0.0%
	GS 300	8	0.1%
	GS 350	10	0.1%
	GS 430	2	0.0%
	GS 450h	2	0.0%
	GS 460	1	0.0%
	GTI	41	0.3%
	GTO	1	0.0%
	GTV-6	1	0.0%
	GV60	3	0.0%
	GV70	2	0.0%
	GV80	2	0.0%
	GX 460	4	0.0%
	GX 470	6	0.1%
	Galant	2	0.0%
	Gallardo	1	0.0%
	Genesis	9	0.1%
	Genesis Coupe	2	0.0%
	Giulia	4	0.0%
	Gladiator	1	0.0%
	Golf	35	0.3%
	Golf Alltrack	10	0.1%
	Golf R	1	0.0%
	Golf SportWagen	21	0.2%
	GranSport	1	0.0%
	Grand Caravan	20	0.2%
	Grand Cherokee	31	0.3%
	Grand Cherokee L	2	0.0%
	Grand Highlander Hybrid	1	0.0%
	Grand Marquis	4	0.0%
	Grand Voyager	1	0.0%
	HHR	4	0.0%
	HR-V	62	0.5%
	Highlander	125	1.0%
	Highlander Hybrid	13	0.1%
	I-Pace	2	0.0%
	I30	2	0.0%
	ID.4	28	0.2%
	ILX	11	0.1%
	IS 200t	4	0.0%
	IS 250	35	0.3%
	IS 250C	1	0.0%
	IS 300	10	0.1%
	IS 350	8	0.1%
	Impala	13	0.1%
	Impreza	89	0.7%
	Insight	33	0.3%
	Integra	11	0.1%
	Intrigue	1	0.0%
	Ion	2	0.0%
	Ioniq 5	19	0.2%
	Ioniq 6	3	0.0%
	Ioniq Electric	2	0.0%
	Ioniq Hybrid	8	0.1%
	Ioniq Plug-In Hybrid	7	0.1%
	J30	1	0.0%
	Jetta	69	0.6%
	Jimmy	1	0.0%
	Journey	3	0.0%
	Juke	10	0.1%
	Justy	1	0.0%
	K1500	1	0.0%
	K5	2	0.0%
	Kicks	10	0.1%
	Kona	12	0.1%
	Kona EV	18	0.2%
	L Series	3	0.0%
	LC 500	2	0.0%
	LEAF	83	0.7%
	LR3	1	0.0%
	LS 400	5	0.0%
	LS 430	9	0.1%
	LS 460	11	0.1%
	LX 450	2	0.0%
	LX 470	2	0.0%
	LX 570	1	0.0%
	LaCrosse	5	0.0%
	Lancer	2	0.0%
	Lancer Evolution	1	0.0%
	Lancer Sportback	1	0.0%
	Land Cruiser	7	0.1%
	LeSabre	11	0.1%
	Legacy	29	0.2%
	Legend	1	0.0%
	Liberty	8	0.1%
	Lucerne	1	0.0%
	Lumina	2	0.0%
	M-Class	17	0.1%
	M2	2	0.0%
	M3	5	0.0%
	M35	6	0.1%
	M37	2	0.0%
	M37x	1	0.0%
	M4	2	0.0%
	M45	1	0.0%
	M5	1	0.0%
	MDX	62	0.5%
	MKC	2	0.0%
	MKS	1	0.0%
	MKX	5	0.0%
	MKZ	5	0.0%
	MPV	5	0.0%
	MR2 Spyder	8	0.1%
	MX-30 EV	1	0.0%
	MX-5 Miata	35	0.3%
	MX-5 Miata RF	8	0.1%
	Macan	17	0.1%
	Magnum	1	0.0%
	Malibu	16	0.1%
	Malibu Limited	1	0.0%
	Mariner	1	0.0%
	Mark VIII	1	0.0%
	Matrix	24	0.2%
	Maverick	8	0.1%
	Maxima	11	0.1%
	Mazda2	9	0.1%
	Mazda3	162	1.4%
	Mazda3 Hatchback	11	0.1%
	Mazda5	20	0.2%
	Mazda6	37	0.3%
	Mazdaspeed3	2	0.0%
	Metris	2	0.0%
	Mirage	4	0.0%
	Mirai	10	0.1%
	Model 3	284	2.4%
	Model S	58	0.5%
	Model X	33	0.3%
	Model Y	245	2.0%
	Montego	1	0.0%
	Montero	2	0.0%
	Montero Sport	2	0.0%
	Mountaineer	2	0.0%
	Mulsanne	1	0.0%
	Murano	10	0.1%
	Murano CrossCabriolet	1	0.0%
	Mustang	41	0.3%
	Mustang Mach-E	23	0.2%
	NV200	3	0.0%
	NV3500	1	0.0%
	NX 200t	7	0.1%
	NX 300	4	0.0%
	NX 300h	9	0.1%
	NX 350	4	0.0%
	NX 350h	4	0.0%
	NX 450h+	1	0.0%
	Navigator	2	0.0%
	Navigator L	1	0.0%
	Neon	2	0.0%
	New Beetle	14	0.1%
	Niro	32	0.3%
	Niro EV	10	0.1%
	Niro PHEV	12	0.1%
	Nitro	2	0.0%
	Ocean	1	0.0%
	Odyssey	138	1.2%
	Optima	17	0.1%
	Other	522	4.4%
	Outback	192	1.6%
	Outlander	8	0.1%
	Outlander PHEV	3	0.0%
	Outlander Sport	3	0.0%
	Outlook	1	0.0%
	PT Cruiser	2	0.0%
	Paceman	1	0.0%
	Pacifica	20	0.2%
	Palisade	4	0.0%
	Panamera	2	0.0%
	Park Avenue	1	0.0%
	Paseo	2	0.0%
	Passat	20	0.2%
	Passport	3	0.0%
	Pathfinder	13	0.1%
	Patriot	8	0.1%
	Pickup	34	0.3%
	Pilot	70	0.6%
	Pininfarina	1	0.0%
	Polestar 1	1	0.0%
	Polestar 2	12	0.1%
	Prelude	1	0.0%
	Previa	2	0.0%
	Prius	462	3.9%
	Prius Plug-In	26	0.2%
	Prius Prime	55	0.5%
	Prius c	79	0.7%
	Prius v	39	0.3%
	Prizm	5	0.0%
	ProMaster 1500	4	0.0%
	ProMaster 2500	3	0.0%
	ProMaster 3500	1	0.0%
	ProMaster City	1	0.0%
	Protege	5	0.0%
	Protege5	3	0.0%
	Q3	11	0.1%
	Q4 e-tron	4	0.0%
	Q4 e-tron Sportback	2	0.0%
	Q40	1	0.0%
	Q5	37	0.3%
	Q5 Sportback	1	0.0%
	Q5 e	4	0.0%
	Q50	6	0.1%
	Q60	1	0.0%
	Q7	11	0.1%
	Q8	2	0.0%
	Q8 e-tron	2	0.0%
	QX30	1	0.0%
	QX4	3	0.0%
	QX50	4	0.0%
	QX55	1	0.0%
	QX60	10	0.1%
	QX70	1	0.0%
	QX80	1	0.0%
	Quest	4	0.0%
	R-Class	2	0.0%
	R1S	8	0.1%
	R1T	2	0.0%
	R32	1	0.0%
	RAV4	289	2.4%
	RAV4 EV	2	0.0%
	RAV4 Hybrid	10	0.1%
	RAV4 Prime	24	0.2%
	RC 300	1	0.0%
	RC 350	7	0.1%
	RDX	39	0.3%
	RL	2	0.0%
	RS5	1	0.0%
	RSX	7	0.1%
	RX 300	8	0.1%
	RX 330	11	0.1%
	RX 350	74	0.6%
	RX 350L	2	0.0%
	RX 350h	1	0.0%
	RX 400h	8	0.1%
	RX 450h	27	0.2%
	RX 450hL	1	0.0%
	RX 500h	1	0.0%
	RX-7	1	0.0%
	RX-8	1	0.0%
	Rabbit	6	0.1%
	Raider	1	0.0%
	Rainier	1	0.0%
	Ram Pickup	15	0.1%
	Ram Truck	1	0.0%
	Ram Van	4	0.0%
	Range Rover	3	0.0%
	Range Rover Evoque	6	0.1%
	Range Rover Sport	7	0.1%
	Ranger	40	0.3%
	Regal	2	0.0%
	Regal TourX	1	0.0%
	Rendezvous	1	0.0%
	Renegade	6	0.1%
	Ridgeline	13	0.1%
	Rio	7	0.1%
	Rio Cinco	1	0.0%
	Riviera	1	0.0%
	Roadster	1	0.0%
	Rodeo	1	0.0%
	Rogue	70	0.6%
	Rogue Select	3	0.0%
	Rogue Sport	1	0.0%
	Rondo	1	0.0%
	Routan	1	0.0%
	S Series	1	0.0%
	S-Class	4	0.0%
	S-Type	1	0.0%
	S10	8	0.1%
	S2000	9	0.1%
	S3	5	0.0%
	S4	2	0.0%
	S40	4	0.0%
	S5	3	0.0%
	S60	18	0.2%
	S70	2	0.0%
	S80	3	0.0%
	S90	1	0.0%
	SC 300	1	0.0%
	SC 400	1	0.0%
	SC 430	3	0.0%
	SL-Class	2	0.0%
	SLK-Class	11	0.1%
	SQ5	4	0.0%
	SRX	2	0.0%
	SSR	1	0.0%
	STS	1	0.0%
	SX4 Sedan	2	0.0%
	Sable	2	0.0%
	Safari	1	0.0%
	Santa Cruz	1	0.0%
	Santa Fe	23	0.2%
	Santa Fe Hybrid	4	0.0%
	Santa Fe Plug-In Hybrid	1	0.0%
	Santa Fe Sport	8	0.1%
	Santa Fe XL	3	0.0%
	Savana	4	0.0%
	Scrambler CJ8	1	0.0%
	Sebring	4	0.0%
	Sedona	6	0.1%
	Seltos	1	0.0%
	Sentra	54	0.5%
	Sequoia	9	0.1%
	Sienna	139	1.2%
	Sierra	25	0.2%
	Silverado	39	0.3%
	Sky	2	0.0%
	Skylark	1	0.0%
	Solterra	1	0.0%
	Sonata	50	0.4%
	Sonata Hybrid	16	0.1%
	Sonic	8	0.1%
	Sonoma	1	0.0%
	Sorento	11	0.1%
	Sorento Hybrid	1	0.0%
	Soul	35	0.3%
	Soul EV	5	0.0%
	Spark	13	0.1%
	Spark EV	4	0.0%
	Spectra	3	0.0%
	Spider	2	0.0%
	Sportage	14	0.1%
	Sportage Hybrid	2	0.0%
	Sprinter 2500	12	0.1%
	Sprinter 3500	2	0.0%
	Sprinter 3500 XD	1	0.0%
	Stelvio	4	0.0%
	Stinger	1	0.0%
	Stratus	1	0.0%
	Suburban	17	0.1%
	Sunfire	1	0.0%
	Supra	1	0.0%
	T100	3	0.0%
	TL	26	0.2%
	TLX	9	0.1%
	TSX	22	0.2%
	TT	6	0.1%
	Tacoma	149	1.2%
	Tahoe	25	0.2%
	Taos	5	0.0%
	Taurus	8	0.1%
	Taurus X	1	0.0%
	Taycan	2	0.0%
	Telluride	5	0.0%
	Tercel	4	0.0%
	Terrain	8	0.1%
	Thunderbird	2	0.0%
	Tiburon	3	0.0%
	Tiguan	33	0.3%
	Tiguan Limited	1	0.0%
	Titan	10	0.1%
	Touareg	3	0.0%
	Town & Country	14	0.1%
	Town Car	5	0.0%
	Tracer	1	0.0%
	Tracker	1	0.0%
	TrailBlazer	10	0.1%
	Transit Connect	7	0.1%
	Transit Van	6	0.1%
	Transit Wagon	1	0.0%
	Transporter II	1	0.0%
	Traverse	3	0.0%
	Trax	5	0.0%
	Tribute	6	0.1%
	Trooper	1	0.0%
	Truck	1	0.0%
	Tucson	39	0.3%
	Tucson Hybrid	2	0.0%
	Tucson Plug-In Hybrid	3	0.0%
	Tundra	51	0.4%
	UX 200	2	0.0%
	UX 250h	11	0.1%
	V40	2	0.0%
	V50	4	0.0%
	V60	11	0.1%
	V60 Cross Country	2	0.0%
	V70	8	0.1%
	V70 XC	1	0.0%
	VF 8	1	0.0%
	VUE	6	0.1%
	Van	1	0.0%
	Vanagon	4	0.0%
	Veloster	7	0.1%
	Venue	5	0.0%
	Venza	25	0.2%
	Verano	1	0.0%
	Versa	49	0.4%
	Versa Note	8	0.1%
	Vibe	7	0.1%
	Vigor	1	0.0%
	Villager	1	0.0%
	Volt	58	0.5%
	Voyager	1	0.0%
	W250 Pickup	3	0.0%
	WRX	8	0.1%
	WRX STI	3	0.0%
	Windstar	1	0.0%
	Wrangler	33	0.3%
	Wrangler JK	1	0.0%
	Wrangler Unlimited	14	0.1%
	Wrangler Unlimited JK	1	0.0%
	X-Type	1	0.0%
	X1	28	0.2%
	X1/9	1	0.0%
	X2	3	0.0%
	X3	52	0.4%
	X4	2	0.0%
	X5	27	0.2%
	X6	1	0.0%
	X7	1	0.0%
	XC40	8	0.1%
	XC60	17	0.1%
	XC70	4	0.0%
	XC90	28	0.2%
	XF	1	0.0%
	XK	1	0.0%
	XK8	1	0.0%
	XL-7	1	0.0%
	XT5	5	0.0%
	XV Crosstrek	15	0.1%
	Xterra	11	0.1%
	Yaris	48	0.4%
	Yaris iA	3	0.0%
	Yukon	6	0.1%
	Yukon XL	7	0.1%
	Z3	9	0.1%
	Z4	8	0.1%
	allroad	3	0.0%
	bZ4X	1	0.0%
	cube	5	0.0%
	e-Golf	12	0.1%
	e-tron	6	0.1%
	fortwo	16	0.1%
	i3	10	0.1%
	i4 Gran Coupe	4	0.0%
	iA	1	0.0%
	iQ	3	0.0%
	iX	1	0.0%
	tC	9	0.1%
	xA	11	0.1%
	xB	12	0.1%
	xD	12	0.1%
Total valid		11,984	100.0%
Total		11,984

Day

Row

hh_is_complete

Household day completion status

Label	Value	Counts	Percentages
Yes	1	91,588	100.0%
Total valid		91,588	100.0%
Total		91,588

Row

hh_is_complete_a

Person’s household is complete under strict criteria A

Label	Value	Counts	Percentages
No	0	15,743	17.2%
Yes	1	75,845	82.8%
Total valid		91,588	100.0%
Total		91,588

Row

hh_is_complete_b

Person’s household is complete under lenient criteria B

Label	Value	Counts	Percentages
No	0	4,263	4.7%
Yes	1	87,325	95.3%
Total valid		91,588	100.0%
Total		91,588

Row

surveyable

Survey participant (related to primary member)

Label	Value	Counts	Percentages
Yes	1	91,588	100.0%
Total valid		91,588	100.0%
Total		91,588

Row

is_participant

Active participant (age 18+ and surveyable)

Label	Value	Counts	Percentages
No	0	12,601	13.8%
Yes	1	78,987	86.2%
Total valid		91,588	100.0%
Total		91,588

Row

is_complete

Is complete
If surveyable

Label	Value	Counts	Percentages
No	0	14,601	15.9%
Yes	1	76,987	84.1%
Total valid		91,588	100.0%
Total		91,588

Row

is_complete_a

Is complete under strict criteria A
If surveyable

Label	Value	Counts	Percentages
No	0	29,991	32.7%
Yes	1	61,597	67.3%
Total valid		91,588	100.0%
Total		91,588

Row

is_complete_b

Is complete under lenient criteria B
If surveyable

Label	Value	Counts	Percentages
No	0	19,721	21.5%
Yes	1	71,867	78.5%
Total valid		91,588	100.0%
Total		91,588

Row

travel_dow

Travel day of week

Label	Value	Counts	Percentages
Monday	1	13,479	14.7%
Tuesday	2	13,571	14.8%
Wednesday	3	13,528	14.8%
Thursday	4	13,402	14.6%
Friday	5	12,536	13.7%
Saturday	6	12,536	13.7%
Sunday	7	12,536	13.7%
Total valid		91,588	100.0%
Total		91,588

Row

hh_day_complete

Day is complete for all household participants

Label	Value	Counts	Percentages
No	0	28,756	31.4%
Yes	1	62,832	68.6%
Total valid		91,588	100.0%
Total		91,588

Row

hh_day_complete_a

Day is complete for all household participants under strict criteria A

Label	Value	Counts	Percentages
No	0	47,258	51.6%
Yes	1	44,330	48.4%
Total valid		91,588	100.0%
Total		91,588

Row

hh_day_complete_b

Day is complete for all household participants under lenient criteria B

Label	Value	Counts	Percentages
No	0	35,369	38.6%
Yes	1	56,219	61.4%
Total valid		91,588	100.0%
Total		91,588

Row

begin_day

Where participant began their day

Label	Value	Counts	Percentages
Home	1	76,339	93.5%
Someone else's home	2	1,905	2.3%
Work	3	510	0.6%
Your/Their other home (e.g., other parent, second home)	4	873	1.1%
Traveling (e.g., red-eye flight)	5	150	0.2%
Temporary lodging (e.g., hotel, vacation rental)	7	1,548	1.9%
Other	997	361	0.4%
Missing Response	995	9,902
Total valid		81,686	100.0%
Total missing		9,902
Total		91,588

Row

end_day

Where participant ended their day

Label	Value	Counts	Percentages
Home	1	73,306	92.0%
Someone else's home	2	2,089	2.6%
Work	3	918	1.2%
Your/Their other home (e.g., other parent, second home)	4	833	1.0%
Traveling (e.g., red-eye flight)	5	229	0.3%
Temporary lodging (e.g., hotel, vacation rental)	7	1,678	2.1%
Other	997	590	0.7%
Missing Response	995	11,945
Total valid		79,643	100.0%
Total missing		11,945
Total		91,588

Row

school_daily

Student traveled to school
If person is under 18 and attends all or some classes in-person

Label	Value	Counts	Percentages
Yes	1	6,146	62.5%
No	2	3,689	37.5%
Missing Response	995	81,753
Total valid		9,835	100.0%
Total missing		81,753
Total		91,588

Row

attend_school

Traveled to school
If person attends in-person school or daycare at least some of the time AND school was not selected as a purpose on travel day thus far for a trip added to this child’s roster (copied trips are not checked)

Label	Variable Name	Counts	Percentages	Missing Counts
Yes, person traveled to school on date	attend_school_1	1,211	87.3%	90,201
Yes, person traveled to another location for school (e.g., friend's house, parent's work) on date	attend_school_2	18	1.3%	90,201
No, person did not travel to school on date	attend_school_3	148	10.7%	90,201
Don't know	attend_school_998	6	0.4%	90,201
Prefer not to answer	attend_school_999	15	1.1%	90,201

Row

attend_school_no

Reason for not attending school
If did not attend school or daycare on travel day

Label	Variable Name	Counts	Percentages	Missing Counts
person was sick or quarantining	attend_school_no_1	65	43.9%	91,440
person attended class online from home	attend_school_no_2	11	7.4%	91,440
person attended class online from another location (e.g., friend's)	attend_school_no_3	0	0.0%	91,440
School was scheduled to be closed (e.g., vacation, holiday)	attend_school_no_4	35	23.6%	91,440
School was closed or adjusted due to weather event (e.g., snow delay)	attend_school_no_5	3	2.0%	91,440
Other	attend_school_no_997	30	20.3%	91,440
Don't know	attend_school_no_998	0	0.0%	91,440
Prefer not to answer	attend_school_no_999	4	2.7%	91,440

Row

delivery

Type of delivery
If rMove respondent or bMove and person 1

Label	Variable Name	Counts	Percentages	Missing Counts
Take-out/prepared food delivered to home	delivery_2	3,739	4.9%	15,741
Someone came to do work at home (e.g., babysitter, housecleaning, lawn)	delivery_3	1,922	2.5%	15,741
Groceries delivered to home	delivery_4	1,621	2.1%	15,741
Received packages at home (e.g., USPS, FedEx, UPS)	delivery_5	24,615	32.5%	15,741
Received personal packages at work	delivery_6	498	0.7%	15,741
Received packages at another location (e.g., Amazon Locker, package pick-up point)	delivery_7	1,385	1.8%	15,741
Other items delivered to home (e.g., appliance)	delivery_8	427	0.6%	15,741
Other items delivered to work	delivery_9	471	0.6%	15,741
None of the above	delivery_996	45,753	60.3%	15,741

Row

made_travel

Made trips on travel day
If person is using rMove, has zero trips for the day (at this point), did not report going to school/daycare, and their begin and end day locations are the same (except for “Other”)

Label	Value	Counts	Percentages
Yes, made trips	1	192	41.6%
No, did not go anywhere or make trips	2	198	42.9%
Don't know	998	46	10.0%
Prefer not to answer	999	26	5.6%
Missing Response	995	91,126
Total valid		462	100.0%
Total missing		91,126
Total		91,588

Row

no_travel

Reason for no travel on date
If person is using rMove and made_travel is no or don’t know OR if person is not using rMove and reported zero trips

Label	Variable Name	Counts	Percentages	Missing Counts
I did make trips today	no_travel_1	1,902	12.8%	76,766
Not scheduled to work/took day off	no_travel_2	1,714	11.6%	76,766
Worked at home for pay (e.g., telework)	no_travel_3	3,525	23.8%	76,766
Hung out around home	no_travel_4	6,978	47.1%	76,766
Scheduled school closure (e.g., holiday)	no_travel_5	38	0.3%	76,766
No available transportation (e.g., no car, no bus)	no_travel_6	122	0.8%	76,766
Sick or quarantining (self or others)	no_travel_7	1,226	8.3%	76,766
Waited for visitor/delivery (e.g., plumber)	no_travel_8	331	2.2%	76,766
Kids did online/remote/home school	no_travel_9	37	0.2%	76,766
Weather conditions (e.g., snowstorm)	no_travel_11	403	2.7%	76,766
Person may have made trips, but I don't know when or where	no_travel_12	48	0.3%	76,766
Other reason	no_travel_99	975	6.6%	76,766

Trip

Row

hh_is_complete

Household day completion status

Label	Value	Counts	Percentages
Yes	1	373,511	100.0%
Total valid		373,511	100.0%
Total		373,511

Row

travel_dow

Travel day of week

Label	Value	Counts	Percentages
Monday	1	49,255	13.2%
Tuesday	2	55,036	14.7%
Wednesday	3	55,075	14.7%
Thursday	4	55,534	14.9%
Friday	5	56,483	15.1%
Saturday	6	55,694	14.9%
Sunday	7	46,434	12.4%
Total valid		373,511	100.0%
Total		373,511

Row

day_is_complete

Day survey completion status

Label	Value	Counts	Percentages
No	0	32,627	8.7%
Yes	1	340,884	91.3%
Total valid		373,511	100.0%
Total		373,511

Row

trip_survey_complete

Trip survey completion status

Label	Value	Counts	Percentages
No	0	10,407	2.9%
Yes	1	350,787	97.1%
Missing Response	995	12,317
Total valid		361,194	100.0%
Total missing		12,317
Total		373,511

Row

o_in_region

Origin in study region

Label	Value	Counts	Percentages
No	0	17,791	4.8%
Yes	1	355,720	95.2%
Total valid		373,511	100.0%
Total		373,511

Row

d_in_region

Destination is in study region

Label	Value	Counts	Percentages
No	0	18,134	4.9%
Yes	1	355,377	95.1%
Total valid		373,511	100.0%
Total		373,511

Row

driver

Driver of vehicle
If trip mode (or transit access/egress mode) is a vehicle or motorcycle, and there are 2 or more travelers (unless all others are unlicensed household members)

Label	Value	Counts	Percentages
Driver	1	149,904	75.3%
Passenger	2	48,442	24.3%
Both (switched drivers during trip)	3	702	0.4%
Missing Response	995	174,463
Total valid		199,048	100.0%
Total missing		174,463
Total		373,511

Row

mode_type

Mode type

Label	Value	Counts	Percentages
Walk	1	102,667	28.3%
Bike	2	9,349	2.6%
Bikeshare	3	636	0.2%
Scootershare	4	264	0.1%
Taxi	5	292	0.1%
TNC	6	3,939	1.1%
Other	7	1,925	0.5%
Car	8	220,623	60.7%
Carshare	9	380	0.1%
School bus	10	57	0.0%
Shuttle/vanpool	11	1,434	0.4%
Ferry	12	341	0.1%
Transit	13	20,502	5.6%
Long distance passenger	14	905	0.2%
Missing Response	995	10,197
Total valid		363,314	100.0%
Total missing		10,197
Total		373,511

Row

mode_1

Trip mode 1

Label	Value	Counts	Percentages
Walk (or jog/wheelchair)	1	78,004	22.4%
Standard bicycle (my household's)	2	6,944	2.0%
Borrowed bicycle (e.g., a friend's)	3	65	0.0%
Other rented bicycle	4	28	0.0%
Other	5	1,124	0.3%
Household vehicle 1	6	139,029	39.8%
Household vehicle 2	7	50,350	14.4%
Household vehicle 3	8	8,151	2.3%
Household vehicle 4	9	1,468	0.4%
Household vehicle 5	10	210	0.1%
Household vehicle 6	11	72	0.0%
Household vehicle 7	12	24	0.0%
Household vehicle 8	13	5	0.0%
Other vehicle in household	16	2,837	0.8%
Rental car	17	2,240	0.6%
Carshare service (e.g., Zipcar)	18	247	0.1%
Vanpool	21	10	0.0%
Other vehicle (not my household's)	22	639	0.2%
Local (public) bus	23	17,160	4.9%
School bus	24	47	0.0%
Intercity bus (e.g., Greyhound, Megabus)	25	23	0.0%
Other private shuttle/bus (e.g., a hotel's, an airport's)	26	323	0.1%
Paratransit/Dial-A-Ride	27	10	0.0%
Other bus	28	142	0.0%
BART	30	6,380	1.8%
Airplane/helicopter	31	835	0.2%
Car from work	33	2,992	0.9%
Friend/relative/colleague's car	34	11,777	3.4%
Regular taxi (e.g., Yellow Cab)	36	202	0.1%
University/college shuttle/bus	38	201	0.1%
Intercity/Commuter rail (e.g., Altamount ACE, Amtrak, Caltrain)	41	1,677	0.5%
Other rail	42	631	0.2%
Skateboard or rollerblade	43	90	0.0%
Golf cart	44	62	0.0%
ATV	45	22	0.0%
Other motorcycle in household	47	79	0.0%
Uber, Lyft, or other smartphone-app ride service	49	4,022	1.2%
MUNI Metro	53	4,098	1.2%
Other motorcycle (not my household's)	54	8	0.0%
Express bus or Transbay bus	55	418	0.1%
Peer-to-peer car rental (e.g., Turo)	59	75	0.0%
Other hired car service (e.g., black car, limo)	60	127	0.0%
Rapid transit bus (BRT)	61	423	0.1%
Employer-provided shuttle/bus	62	780	0.2%
Medical transportation service	63	115	0.0%
Local (private) bus (e.g., RapidShuttle, SuperShuttle)	67	202	0.1%
Cable car or streetcar	68	186	0.1%
Bike-share - standard bicycle	69	261	0.1%
Bike-share - electric bicycle	70	350	0.1%
Moped-share (e.g., Scoot)	73	12	0.0%
Segway	74	16	0.0%
Other	75	63	0.0%
Carpool match (e.g., Waze Carpool)	76	59	0.0%
Personal scooter or moped (not shared)	77	952	0.3%
Public ferry or water taxi	78	296	0.1%
Other boat (e.g., kayak)	80	73	0.0%
Electric bicycle (my household's)	82	2,107	0.6%
Scooter-share (e.g., Bird, Lime)	83	148	0.0%
Missing Response	995	24,620
Total valid		348,891	100.0%
Total missing		24,620
Total		373,511

Row

mode_2

Trip mode 2

Label	Value	Counts	Percentages
Walk (or jog/wheelchair)	1	10,571	46.1%
Standard bicycle (my household's)	2	638	2.8%
Borrowed bicycle (e.g., a friend's)	3	3	0.0%
Other rented bicycle	4	13	0.1%
Other	5	345	1.5%
Household vehicle 1	6	2,040	8.9%
Household vehicle 2	7	819	3.6%
Household vehicle 3	8	30	0.1%
Household vehicle 4	9	27	0.1%
Household vehicle 5	10	7	0.0%
Household vehicle 6	11	4	0.0%
Other vehicle in household	16	49	0.2%
Rental car	17	34	0.1%
Carshare service (e.g., Zipcar)	18	14	0.1%
Vanpool	21	6	0.0%
Other vehicle (not my household's)	22	103	0.4%
Local (public) bus	23	634	2.8%
School bus	24	14	0.1%
Intercity bus (e.g., Greyhound, Megabus)	25	8	0.0%
Other private shuttle/bus (e.g., a hotel's, an airport's)	26	40	0.2%
Paratransit/Dial-A-Ride	27	23	0.1%
Other bus	28	161	0.7%
BART	30	2,595	11.3%
Airplane/helicopter	31	31	0.1%
Car from work	33	63	0.3%
Friend/relative/colleague's car	34	578	2.5%
Regular taxi (e.g., Yellow Cab)	36	30	0.1%
University/college shuttle/bus	38	133	0.6%
Intercity/Commuter rail (e.g., Altamount ACE, Amtrak, Caltrain)	41	300	1.3%
Other rail	42	376	1.6%
Skateboard or rollerblade	43	10	0.0%
ATV	45	3	0.0%
Other motorcycle in household	47	19	0.1%
Uber, Lyft, or other smartphone-app ride service	49	259	1.1%
MUNI Metro	53	1,760	7.7%
Other motorcycle (not my household's)	54	8	0.0%
Express bus or Transbay bus	55	249	1.1%
Peer-to-peer car rental (e.g., Turo)	59	2	0.0%
Other hired car service (e.g., black car, limo)	60	12	0.1%
Rapid transit bus (BRT)	61	136	0.6%
Employer-provided shuttle/bus	62	360	1.6%
Medical transportation service	63	9	0.0%
Local (private) bus (e.g., RapidShuttle, SuperShuttle)	67	29	0.1%
Cable car or streetcar	68	34	0.1%
Bike-share - standard bicycle	69	60	0.3%
Bike-share - electric bicycle	70	56	0.2%
Moped-share (e.g., Scoot)	73	5	0.0%
Segway	74	2	0.0%
Other	75	22	0.1%
Carpool match (e.g., Waze Carpool)	76	6	0.0%
Personal scooter or moped (not shared)	77	96	0.4%
Public ferry or water taxi	78	66	0.3%
Other boat (e.g., kayak)	80	4	0.0%
Electric bicycle (my household's)	82	28	0.1%
Scooter-share (e.g., Bird, Lime)	83	9	0.0%
Missing Response	995	350,578
Total valid		22,933	100.0%
Total missing		350,578
Total		373,511

Row

mode_3

Trip mode 3

Label	Value	Counts	Percentages
Walk (or jog/wheelchair)	1	2,880	60.7%
Standard bicycle (my household's)	2	25	0.5%
Borrowed bicycle (e.g., a friend's)	3	3	0.1%
Other	5	57	1.2%
Household vehicle 1	6	396	8.4%
Household vehicle 2	7	93	2.0%
Household vehicle 3	8	7	0.1%
Household vehicle 4	9	13	0.3%
Other vehicle in household	16	9	0.2%
Rental car	17	13	0.3%
Carshare service (e.g., Zipcar)	18	6	0.1%
Vanpool	21	3	0.1%
Other vehicle (not my household's)	22	32	0.7%
Local (public) bus	23	59	1.2%
Intercity bus (e.g., Greyhound, Megabus)	25	6	0.1%
Paratransit/Dial-A-Ride	27	2	0.0%
Other bus	28	29	0.6%
BART	30	224	4.7%
Airplane/helicopter	31	29	0.6%
Car from work	33	8	0.2%
Friend/relative/colleague's car	34	218	4.6%
University/college shuttle/bus	38	55	1.2%
Intercity/Commuter rail (e.g., Altamount ACE, Amtrak, Caltrain)	41	8	0.2%
Other rail	42	61	1.3%
Skateboard or rollerblade	43	3	0.1%
Other motorcycle in household	47	7	0.1%
Uber, Lyft, or other smartphone-app ride service	49	55	1.2%
MUNI Metro	53	207	4.4%
Express bus or Transbay bus	55	35	0.7%
Peer-to-peer car rental (e.g., Turo)	59	3	0.1%
Other hired car service (e.g., black car, limo)	60	3	0.1%
Rapid transit bus (BRT)	61	11	0.2%
Employer-provided shuttle/bus	62	84	1.8%
Medical transportation service	63	1	0.0%
Cable car or streetcar	68	16	0.3%
Bike-share - standard bicycle	69	4	0.1%
Bike-share - electric bicycle	70	25	0.5%
Carpool match (e.g., Waze Carpool)	76	4	0.1%
Personal scooter or moped (not shared)	77	1	0.0%
Public ferry or water taxi	78	38	0.8%
Scooter-share (e.g., Bird, Lime)	83	8	0.2%
Missing Response	995	368,770
Total valid		4,741	100.0%
Total missing		368,770
Total		373,511

Row

mode_4

Trip mode 4

Label	Value	Counts	Percentages
Walk (or jog/wheelchair)	1	403	60.2%
Standard bicycle (my household's)	2	2	0.3%
Household vehicle 1	6	12	1.8%
Household vehicle 2	7	5	0.7%
Other vehicle (not my household's)	22	2	0.3%
Local (public) bus	23	9	1.3%
Other bus	28	8	1.2%
BART	30	9	1.3%
Airplane/helicopter	31	8	1.2%
Friend/relative/colleague's car	34	56	8.4%
University/college shuttle/bus	38	11	1.6%
Intercity/Commuter rail (e.g., Altamount ACE, Amtrak, Caltrain)	41	1	0.1%
Other rail	42	15	2.2%
Uber, Lyft, or other smartphone-app ride service	49	3	0.4%
MUNI Metro	53	45	6.7%
Express bus or Transbay bus	55	5	0.7%
Peer-to-peer car rental (e.g., Turo)	59	3	0.4%
Other hired car service (e.g., black car, limo)	60	1	0.1%
Rapid transit bus (BRT)	61	3	0.4%
Employer-provided shuttle/bus	62	12	1.8%
Medical transportation service	63	15	2.2%
Cable car or streetcar	68	16	2.4%
Bike-share - standard bicycle	69	12	1.8%
Bike-share - electric bicycle	70	7	1.0%
Electric bicycle (my household's)	82	6	0.9%
Missing Response	995	372,842
Total valid		669	100.0%
Total missing		372,842
Total		373,511

Row

transit_type

Payment method for transit
If not a proxy survey and trip mode is bus (except school bus or private bus) or rail

Label	Value	Counts	Percentages
Free (no cost at all)	1	5,305	11.0%
Pass loaded on a Clipper Card	2	21,610	44.7%
Cash, credit card, or ticket(s)	3	3,826	7.9%
Don't know	4	221	0.5%
Used a transfer from a previous transit trip	6	92	0.2%
Clipper Cash	7	17,340	35.8%
Missing Response	995	325,117
Total valid		48,394	100.0%
Total missing		325,117
Total		373,511

Row

transit_access

Mode used to access transit stop
If trip mode is bus or rail

Label	Value	Counts	Percentages
Walked (or jogged/wheelchair)	1	36,314	74.2%
Bicycle	2	1,586	3.2%
Transferred from another bus	3	4,760	9.7%
Micromobility (e.g., scooter, moped, skateboard)	4	352	0.7%
Transferred from other transit (e.g., rail, air)	5	2,675	5.5%
Uber/Lyft, taxi, or car service	6	220	0.4%
Drove and parked my own household's vehicle (or motorcycle)	7	1,422	2.9%
Drove and parked another vehicle (or motorcycle)	8	99	0.2%
Got dropped off in my own household's vehicle (or motorcycle)	9	547	1.1%
Got dropped off in another vehicle (or motorcycle)	10	387	0.8%
Other	997	582	1.2%
Missing Response	995	324,567
Total valid		48,944	100.0%
Total missing		324,567
Total		373,511

Row

transit_egress

Mode used to leave transit stop
If trip mode is bus or rail

Label	Value	Counts	Percentages
Walked (or jogged/wheelchair)	1	36,803	75.2%
Bicycle	2	1,497	3.1%
Transferred to another bus	3	4,960	10.1%
Micromobility (e.g., scooter, moped, skateboard)	4	396	0.8%
Transferred to other transit (e.g., rail, air)	5	2,846	5.8%
Uber/Lyft, taxi, or car service	6	209	0.4%
Drove my own household's vehicle (or motorcycle)	7	979	2.0%
Drove another vehicle (or motorcycle)	8	70	0.1%
Got picked up in my own household's vehicle (or motorcycle)	9	351	0.7%
Got picked up in another vehicle (or motorcycle)	10	277	0.6%
Other	997	555	1.1%
Missing Response	995	324,568
Total valid		48,943	100.0%
Total missing		324,568
Total		373,511

Row

taxi_type

Type of taxi used on trip
If trip mode, transit access, or transit egress mode is Uber/Lyft, taxi, or car service

Label	Value	Counts	Percentages
I paid the fare myself (no reimbursement)	1	2,811	59.7%
Employer paid (I am reimbursed)	2	644	13.7%
Split/shared fare with other(s)	3	339	7.2%
Someone else paid 100% (all of fare)	4	774	16.4%
Other	5	142	3.0%
Missing Response	995	368,801
Total valid		4,710	100.0%
Total missing		368,801
Total		373,511

Row

taxi_pay

Knows amount paid for taxi
If person paid, their employer paid, or they split/shared the fare

Label	Value	Counts	Percentages
Knows amount paid	1	3,193	84.2%
Don't know	2	601	15.8%
Missing Response	995	369,717
Total valid		3,794	100.0%
Total missing		369,717
Total		373,511

Row

tnc_wait

Knows time spent between ordering trip and vehicle arriving
If trip mode is Uber, Lyft, or other smartphone-app ride service

Label	Value	Counts	Percentages
Minutes:	1	3,350	76.8%
Don't know	998	1,012	23.2%
Missing Response	995	369,149
Total valid		4,362	100.0%
Total missing		369,149
Total		373,511

Row

tnc_type

Shared smartphone-app ride service
If trip mode is Uber, Lyft, or other smartphone-app ride service

Label	Value	Counts	Percentages
Pooled (e.g., UberPool, Lyft Shared)	1	264	6.0%
Regular (e.g., UberX, UberXL, Lyft, LyftXL)	2	3,860	88.5%
Premium (e.g., UberBlack, Lyft Lux)	3	109	2.5%
Don't know	998	131	3.0%
Missing Response	995	369,147
Total valid		4,364	100.0%
Total missing		369,147
Total		373,511

Row

tnc_replace

Tnc replace
If trip mode is Uber, Lyft, or other smartphone-app ride service

Label	Variable Name	Counts	Percentages	Missing Counts
Would make same trip by using a taxi	tnc_replace_1	1,848	42.4%	369,150
Would make same trip by driving my own car	tnc_replace_2	734	16.8%	369,150
Would make same trip by riding with family/friend/coworker	tnc_replace_3	709	16.3%	369,150
Would make same trip by using BART	tnc_replace_4	569	13.0%	369,150
Would make same trip by using other transit (not BART)	tnc_replace_5	1,346	30.9%	369,150
Would make same trip by walking/biking	tnc_replace_6	543	12.5%	369,150
Would travel to a different place instead	tnc_replace_7	144	3.3%	369,150
Would NOT make the trip at all	tnc_replace_8	308	7.1%	369,150
Other	tnc_replace_9	130	3.0%	369,150

Row

park_location

Vehicle parking location
If trip mode, transit access mode, or transit egress mode is a household vehicle or other vehicle

Label	Value	Counts	Percentages
Home driveway/garage (yours or someone else's)	1	65,929	29.5%
Parking lot/garage	3	93,816	41.9%
On-street parking	4	43,891	19.6%
Park & Ride lot	5	1,056	0.5%
Didn't park (waited, drop-off, drive-thru, gas)	6	17,948	8.0%
Other	7	1,145	0.5%
Missing Response	995	149,726
Total valid		223,785	100.0%
Total missing		149,726
Total		373,511

Row

park_type

How paid to park at this location
If vehicle was parked in a lot/garage, on-street, or in a Park & Ride lot

Label	Value	Counts	Percentages
Free parking (no cost at all)	1	127,990	92.2%
Used a parking pass (any type)	2	4,148	3.0%
Paid via cash, credit card, or ticket(s)	3	5,399	3.9%
Parking reservation service (e.g., SpotHero, ParkMobile)	4	508	0.4%
Other	6	722	0.5%
Missing Response	995	234,744
Total valid		138,767	100.0%
Total missing		234,744
Total		373,511

Row

managed_lane_use

Managed lane use
If trip mode is a household vehicle, this person is not the passenger, and the vehicle has a toll transponder

Label	Value	Counts	Percentages
Yes	1	2,292	1.6%
No	2	137,371	98.4%
Missing Response	995	233,848
Total valid		139,663	100.0%
Total missing		233,848
Total		373,511

Row

num_travelers

Number of people in travel party

Label	Value	Counts	Percentages
1 traveler	1	205,694	56.6%
2 travelers	2	100,393	27.6%
3 travelers	3	32,370	8.9%
4 travelers	4	15,686	4.3%
5+ travelers	5	9,143	2.5%
Missing Response	995	10,225
Total valid		363,286	100.0%
Total missing		10,225
Total		373,511

Row

num_hh_travelers

Number of household members on trip

Label	Value	Counts	Percentages
1 traveler	1	243,946	67.1%
2 travelers	2	84,925	23.4%
3 travelers	3	22,213	6.1%
4 travelers	4	10,026	2.8%
5 travelers	5	1,733	0.5%
6 travelers	6	269	0.1%
7 travelers	7	91	0.0%
8 travelers	8	39	0.0%
9 travelers	9	43	0.0%
10 travelers	10	1	0.0%
Missing Response	995	10,225
Total valid		363,286	100.0%
Total missing		10,225
Total		373,511

Row

num_non_hh_travelers

Number of non-household member travelers

Label	Value	Counts	Percentages
0 travelers	0	309,103	85.1%
1 traveler	1	36,366	10.0%
2 travelers	2	10,044	2.8%
3 travelers	3	3,400	0.9%
4 travelers	4	1,415	0.4%
5+ travelers	5	2,958	0.8%
Missing Response	995	10,225
Total valid		363,286	100.0%
Total missing		10,225
Total		373,511

Row

o_purpose_category

Origin purpose category

Label	Value	Counts	Percentages
Not imputable	-1	4,667	1.2%
Home	1	99,183	26.6%
Work	2	16,381	4.4%
Work related	3	18,896	5.1%
School	4	3,359	0.9%
School related	5	2,204	0.6%
Escort	6	25,995	7.0%
Shop	7	40,063	10.7%
Meal	8	32,131	8.6%
Social or recreational	9	51,474	13.8%
Errand	10	17,645	4.7%
Change mode	11	42,997	11.5%
Overnight	12	13,932	3.7%
Other	13	4,584	1.2%
Total valid		373,511	100.0%
Total		373,511

Row

o_purpose

Origin purpose

Label	Value	Counts	Percentages
Not imputable	-1	4,667	1.2%
Went home	1	99,139	26.5%
Went to primary workplace	10	16,381	4.4%
Went to work-related activity (e.g., meeting, delivery, worksite)	11	16,225	4.3%
Volunteering	13	1,216	0.3%
Other work-related	14	1,455	0.4%
Attend K-12 school	21	574	0.2%
Attend college/university	22	1,029	0.3%
Attend other type of class (e.g., cooking class)	23	132	0.0%
Attend other education-related activity (e.g., field trip)	24	2,204	0.6%
Attend vocational education class	25	32	0.0%
Attend daycare or preschool	26	1,592	0.4%
Grocery shopping	30	21,883	5.9%
Got gas	31	3,949	1.1%
Other routine shopping (e.g., pharmacy)	32	13,026	3.5%
Errand without appointment (e.g., post office)	33	9,648	2.6%
Medical visit (e.g., doctor, dentist)	34	5,143	1.4%
Shopping for major item (e.g., furniture, car)	36	1,205	0.3%
Errand with appointment (e.g., haircut)	37	2,854	0.8%
Other activity only (e.g., attend meeting, pick-up or drop-off item)	44	1,738	0.5%
Pick someone up	45	9,896	2.6%
Drop someone off	46	12,493	3.3%
Accompany someone only (e.g., go along for the ride)	47	926	0.2%
BOTH pick up AND drop off	48	942	0.3%
Dined out, got coffee, or take-out	50	32,131	8.6%
Exercise or recreation (e.g., gym, jog, bike, walk dog)	51	27,836	7.5%
Social activity (e.g., visit friends/relatives)	52	9,481	2.5%
Leisure/entertainment/cultural (e.g., cinema, museum, park)	53	9,851	2.6%
Religious/civic/volunteer activity	54	2,622	0.7%
Family activity (e.g., watch child's game)	56	1,684	0.5%
Changed or transferred mode (e.g., waited for bus or exited bus)	60	42,997	11.5%
Other errand	61	125	0.0%
Other social	62	49	0.0%
Other reason	99	4,410	1.2%
Went to another residence (e.g., someone else's home, second home)	150	11,823	3.2%
Went to temporary lodging (e.g., hotel, vacation rental)	152	2,153	0.6%
Total valid		373,511	100.0%
Total		373,511

Row

d_purpose_category

Destination purpose category

Label	Value	Counts	Percentages
Not imputable	-1	4,642	1.2%
Home	1	100,512	26.9%
Work	2	16,107	4.3%
Work related	3	19,012	5.1%
School	4	3,222	0.9%
School related	5	2,220	0.6%
Escort	6	26,168	7.0%
Shop	7	40,196	10.8%
Meal	8	32,273	8.6%
Social or recreational	9	51,828	13.9%
Errand	10	17,695	4.7%
Change mode	11	43,049	11.5%
Overnight	12	14,672	3.9%
Other	13	1,915	0.5%
Total valid		373,511	100.0%
Total		373,511

Row

d_purpose

Destination purpose

Label	Value	Counts	Percentages
Not imputable	-1	4,642	1.2%
Went home	1	100,512	26.9%
Went to primary workplace	10	16,107	4.3%
Went to work-related activity (e.g., meeting, delivery, worksite)	11	16,319	4.4%
Volunteering	13	1,230	0.3%
Other work-related	14	1,463	0.4%
Attend K-12 school	21	603	0.2%
Attend college/university	22	791	0.2%
Attend other type of class (e.g., cooking class)	23	137	0.0%
Attend other education-related activity (e.g., field trip)	24	2,220	0.6%
Attend vocational education class	25	32	0.0%
Attend daycare or preschool	26	1,659	0.4%
Grocery shopping	30	21,974	5.9%
Got gas	31	3,960	1.1%
Other routine shopping (e.g., pharmacy)	32	13,055	3.5%
Errand without appointment (e.g., post office)	33	9,668	2.6%
Medical visit (e.g., doctor, dentist)	34	5,161	1.4%
Shopping for major item (e.g., furniture, car)	36	1,207	0.3%
Errand with appointment (e.g., haircut)	37	2,866	0.8%
Other activity only (e.g., attend meeting, pick-up or drop-off item)	44	1,741	0.5%
Pick someone up	45	9,930	2.7%
Drop someone off	46	12,594	3.4%
Accompany someone only (e.g., go along for the ride)	47	944	0.3%
BOTH pick up AND drop off	48	959	0.3%
Dined out, got coffee, or take-out	50	32,273	8.6%
Exercise or recreation (e.g., gym, jog, bike, walk dog)	51	27,962	7.5%
Social activity (e.g., visit friends/relatives)	52	9,599	2.6%
Leisure/entertainment/cultural (e.g., cinema, museum, park)	53	9,920	2.7%
Religious/civic/volunteer activity	54	2,642	0.7%
Family activity (e.g., watch child's game)	56	1,705	0.5%
Changed or transferred mode (e.g., waited for bus or exited bus)	60	43,049	11.5%
Other errand	61	126	0.0%
Other social	62	53	0.0%
Other reason	99	1,736	0.5%
Went to another residence (e.g., someone else's home, second home)	150	12,294	3.3%
Went to temporary lodging (e.g., hotel, vacation rental)	152	2,378	0.6%
Total valid		373,511	100.0%
Total		373,511

Using The Data

Column

Data Preparation

This section summarizes the methods used to prepare the data. Given that all data were collected in a “controlled” environment (e.g., survey answers are validated in real-time), data preparation was primarily focused on coding variables and deriving new fields to facilitate analysis.

Joining Tables

Survey data tables can be joined to one another as follows:

Table name	Variable(s) to join to other survey data tables
Household	hh_id
Person	hh_id, person_id
Vehicle	hh_id
Day	hh_id, person_id, day_num
Trip	hh_id, person_id, day_num, trip_id
Location	trip_id

Time and Location Standards

All timestamps are set to Coordinated Universal Time (UTC) time, regardless of where trips occurred. All location latitude and longitude information are presented in WGS84 format.

Missing Values

A survey data table cell may be missing data for one of four reasons:

1. Value or response is missing due to survey logic, participant non-response, or error.

Example: Participants who traveled by bus were not asked if they were the driver or passenger on the trip.

Coded as: 995 for categorical variables, blank/NA for continuous variables

2. A respondent indicated that the question was not applicable and skipped that question.

Example: Some participants did not share how they pay to park at work because they do not park at work (e.g., carpool).

Coded as: 996 (often labeled as “Not applicable”)

3. A respondent indicated that they didn’t know the answer and skipped that question.

Example: Some participants who made a vehicle trip and paid to park the vehicle may not remember the amount they paid.

Coded as: 998 (Don’t know)

4. A respondent indicated that they preferred not to answer a question and skipped that question.

Example: Some participants chose not to provide their household income.

Coded as: 999 (Prefer not to answer)

Other notes about missing survey data:

For a survey to be complete, all survey questions asked of the participant must have been answered in the app or online instrument.
Continuous variables (e.g., trip distance, trip duration) are not coded with missing value codes and are instead left empty when missing to avoid interfering with statistical calculations.
Due to the large size of the location table, missing values were left exactly as they were collected. Speed, heading, and accuracy can all potentially contain missing values that are either stored as “-1”, NA, or 0. Analysis on those fields should filter to where the values are greater than zero.

Outliers

Continuous variables (e.g., trip distance, trip duration) in the dataset may contain outliers. Data users should be aware of these outliers when calculating summary statistics (e.g., mean) for these variables.

Derived and Recoded Variables

This dataset includes a combination of variables that were actively collected via survey questions, passively collected via rMove or other metadata, implicitly assigned (e.g., administrative variables such as ID numbers), and derived or recoded (calculated from some combination of other variables). Key derived or recoded variables in this dataset are summarized below.

Day-level Variables

Number of trips per day

Trip-level Variables

Trip path distance (based on the GPS location data)
Trip purpose (imputed in some cases)
Mode type and purpose categories
Access and egress flags

Imputation

Departure Time

In some cases, the rMove app may have detected the start of a trip after its true start time, which can yield invalid or extreme values for trip duration and speed. In these cases, the fields depart_date, depart_hour, and depart_minute were adjusted for “late pickup” conditions using the following approach:

Departure time was imputed using the median speed between all locations along the trip, excluding the origin point, and the distance between the origin and the next point on the trip. For trips with fewer than three recorded locations, imputed departure time is set three minutes earlier than the original departure time to compensate for rMove’s 3-5-minute ping interval. Note that some trips that are the result of split loop trips may only have three or fewer points but will use the imputed depart time from before the loop trip was split and thus may not be included in this rule.
If the imputed departure time overlaps with the previous trip’s arrival time, the previous trip’s arrival time was instead used as the departure time. Regardless of the number of locations along a trip, if the imputed departure time was later than the initially reported departure time, the imputed departure time is set to the original departure time. User-added trips as well as long distance passenger mode trips are also set to the original departure time, as user-added trips are not subject to “late pickup” conditions, and long-distance passenger modes are often plane trips where all collected traces contain speed information from other modes and thus are less reliable (as rMove cannot collect locations when a phone is in “airplane mode”).

Duration and speed are calculated based on the imputed departure time.

Purpose

Respondents report the purpose of the trip destination in each trip survey. The origin purpose is derived from the destination purpose of the previous trip, except for the first trip in the travel period or where an rMove trip occurs after a trip survey whose survey is incomplete due to non-response. For the first trip in the travel period, the origin purpose can be inferred from “begin_day” in the day table.

When purpose was not asked because an analyst split a user-reported trip during data cleaning (creating a new destination along a trip), purpose values are derived where possible based on proximity (within 150 meters) to estimated home, work, or school locations. If the location is not proximate to home, work, or school locations, the purpose is set to “other.”

The purpose category variables (o_purpose_category, d_purpose_category) contain aggregated purpose values based on the type of purpose at the origin/destination of each trip. Dataset users are welcome to perform their own recoding of the purpose categories as well.

Trip purposes have been imputed in cases where a purpose reported by the user is assumed to be inaccurate based on information about that person’s reported habitual locations and other trips (primarily to home, work, and school locations). The trip purpose imputation approach was applied to all rMove trips in person-days with at least 1 complete trip and no more than 10 incomplete trips. (“Incomplete” trips are trips for which the respondent did not answer the trip-specific survey questions about purpose, mode, etc. for the given trip.)

The approach was to apply various “tests” in logical sequence to trips for which the stated purpose is not consistent with the location type based on the reported habitual locations. In general terms, the tests were designed to:

Check the respondent’s reported destination purpose when it conflicts with the destination location type. (The details of the tests depend on the trip purpose, with different criteria used for change-mode trips, escort trips, linked transit trips, trips with home destinations but other reported purposes, etc.)
Identify cases where respondents swapped the order of two or more trips when reporting their details.
Identify cases where respondents may have omitted a trip and shifted remaining reported trip details by one trip when reporting the rest of their trips.
Fill in missing data by sampling destination purposes from other trips made to the same locations, either by the same respondent or by other respondents.

Mode type

Mode type (mode_type)

Mode_type synthesizes mode_1 to mode_3 down to a single, easier-to-use variable for analytical purposes (so that data users can avoid always referencing all modes on multimodal trips). The table below shows the full crosswalk of which detailed modes correspond to which mode_types. Higher values of mode_type are prioritized over lower mode_type values in the derivation. For example, transit trips, with mode_type 13, are prioritized over walk trips, with mode_type 1. When transit trips were unlinked using the Google API during cleaning (and thus did not have a reported mode_1, mode_2, or mode_3), the non-transit legs of the trip were recoded using Google’s suggested mode (most frequently “walk” or “bike”) and do not have a reported mode_1, mode_2, or mode_3.

Overview

Row

Overview

Bay Area Transportation Study: Unweighted Codebook and Dataset Guide

Study and Dataset Overview

“Complete” households met the following conditions:

Identifying surveyable household members:

Dataset Composition

Dataset Composition

Data Privacy

Data Privacy

Sensitive and Personally Identifiable Information (PII)

Codebook

Row

Variable Descriptions

Value Labels

Household

Sidebar

Household

Row

participation_group

Row

num_days_complete

Row

num_days_complete_a

Row

num_days_complete_b

Row

num_days_complete_weekday

Row

num_days_complete_weekday_a

Row

num_days_complete_weekday_b

Row

num_complete_mon

Row

num_complete_mon_a

Row

num_complete_mon_b

Row

num_complete_tue

Row

num_complete_tue_a

Row

num_complete_tue_b

Row

num_complete_wed

Row

num_complete_wed_a

Row

num_complete_wed_b

Row

num_complete_thu

Row

num_complete_thu_a

Row

num_complete_thu_b

Row

num_complete_fri

Row

num_complete_fri_a

Row

num_complete_fri_b

Row

num_days_complete_weekend

Row

num_days_complete_weekend_a

Row

num_days_complete_weekend_b

Row

num_complete_sat

Row

num_complete_sat_a

Row

num_complete_sat_b

Row

num_complete_sun

Row

num_complete_sun_a

Row